CN104436596A

CN104436596A - Exercise support device and exercise support method

Info

Publication number: CN104436596A
Application number: CN201410478644.1A
Authority: CN
Inventors: 相原岳浩; 山本量平
Original assignee: Casio Computer Co Ltd
Current assignee: Casio Computer Co Ltd
Priority date: 2013-09-18
Filing date: 2014-09-18
Publication date: 2015-03-25
Anticipated expiration: 2034-09-18
Also published as: US20150081061A1; JP2015058096A; CN104436596B

Abstract

An exercise support device includes a sensor section which obtains motion data related with a user's body motion while exercising, and a data processing section which identifies whether the motion data obtained by the sensor section are related to first motion of swinging the right foot toward a traveling direction or related to second motion of swinging the left foot toward the traveling direction, and obtains, from the motion data, first exercise data related to the first motion and second exercise data related to the second motion. The data processing section analyzes the user's body motion based on comparison between the user's exercise form and the exercise status based on the first exercise data and the user's exercise form and the exercise status based on the second exercise data.

Description

Motion supportive device and motion support method

To the cross reference of related application

Corresponding Japanese publication:

Application number: Japanese Patent Application 2013-192714, the applying date: on September 18th, 2013

Technical field

The present invention relates to motion supportive device and motion support method, particularly relate to and accurately can grasp the operating state (motion state) of human body when moving and contribute to improving motion supportive device and the motion support method of operating state.

Background technology

In recent years, with the raising of healthy ambition etc. for background, dailyly carry out running and take a walk, by bike etc. motion maintain and the people of the state that improves health in increase.By daily motion, using the people of athletic competition as target such as to take part in the marathon race also in increase.

These people are for measuring the consciousness of various Biont information and the result of movable information also measured by record and being concerned about very high, to grasp oneself health status and motion state.To participate in people that athletic competition etc. is target by the good result in these sports as target, thus to the consciousness of efficient and effective training method and be concerned about also very high.

Have developed various product and the technology of this demand of reply at present.Such as, in Japanese Unexamined Patent Publication 2010-264246 publication, disclose the portable fitness monitoring arrangement user in training being provided to various Biont information and movable information.And describe user and heartbeat meter and the various sensor such as accelerometer, GPS are installed in this portable fitness monitoring arrangement, the various performance parameters such as the beats in measurement motion and distance, speed, step number, consumption calorie, and be prompted to user as the information of current time.

Such as, in Japanese Unexamined Patent Publication 2006-110046 publication, disclose the race calligraphy learning device that track and field runner uses in running training.And describe the 3 axial acceleration, the angular speed that to detect in this race calligraphy learning device when user runs, and the comparative result with the desired value preset is provided, thus urge user revise and confirm each race method walked.

, comprise participating in the people that athletic competition etc. is target, in order to remain healthy the people of persistent movement from director wait accept few often about the chance of the suitable guidance of movement technique and exercise attitudes (form) etc.And user grasps the balance of the occupation mode of health when oneself moving (such as running) and determines whether that suitable is very difficult thing.Therefore, persistent movement under the state sometimes causing lacking balance in the occupation mode of health.In this case, not only efficiency is poor, and likely causes health fault occurs.

On the other hand, in the device described in document described above and technology, Biont information during detection user movement and movable information, this information is directly supplied to user, or its analysis result is supplied to user, but the information of the occupation mode helping posture when improving user movement and health etc. can not be provided.

On the other hand, in order to critically carry out graphical analysis and the analyzing and diagnosing of exercise attitudes etc., need the large-scale and device of complexity, this device only some educational institution and athletic association etc. is held, and the ordinary people beyond top sportsman can not use.

On the other hand, as the equipment easily can observing the posture of running when waiting motion, such as have the photographic equipment of shooting dynamic image and high speed dynamic image, these equipment are sold more cheap.

But, when using this photographic equipment, in order to take the dynamic image in motion, needing the assistance of the third party except me, being difficult to take all the time in the daily running carried out etc.In addition, the dynamic image captured by analysis needs the plenty of time, is difficult to user photography result and its analysis result etc. fed back in real time in motion.

Summary of the invention

Tool of the present invention has the following advantages, and namely can provide a kind of motion supportive device and motion support method, posture when can measure easily and exactly motion and the occupation mode etc. of health.

Motion supportive device of the present invention has: sensor part, obtain to move in the relevant action data of the motion of health of user; And data processing division, identify that the described action data obtained by described sensor part is relevant to the motion of the right leg forward direction side oscillation of described user or is correlated with the motion of left leg forward direction side oscillation, and from described action data, obtain first exercise data relevant to the motion mode of the right leg forward direction side oscillation of described user and second exercise data relevant with the motion mode of left leg forward direction side oscillation.

And, motion support method of the present invention comprises the following steps: obtain to move in the relevant action data of the motion of health of user, described action data acquired by identification is relevant to the motion of the right leg forward direction side oscillation of described user or is correlated with the motion of left leg forward direction side oscillation, and from described action data, obtain first exercise data relevant to the motion mode of the right leg forward direction side oscillation of described user and second exercise data relevant with the motion mode of left leg forward direction side oscillation.

Accompanying drawing explanation

Figure 1A, Figure 1B are the skeleton diagrams of the 1st embodiment representing motion supportive device of the present invention.

Fig. 2 A, Fig. 2 B are the functional block diagrams of the structure example of the motion supportive device representing the 1st embodiment.

Fig. 3 is the 3 axial skeleton diagrams representing acceleration transducer and the angular-rate sensor adopted in the 1st embodiment.

Fig. 4 is the flow chart of the example representing the motion support method performed in the motion supportive device of the 1st embodiment.

Fig. 5 is the figure for illustration of extracting the process of a periodic quantity of running action in the motion support method of the 1st embodiment.

Fig. 6 A, Fig. 6 B be for illustration of in the motion support method of the 1st embodiment identify run time left and right leg process figure (one of).

Fig. 7 A, Fig. 7 B are the figure (two) for illustration of the process identifying left and right leg when running in the motion support method of the 1st embodiment.

Fig. 8 be represent in the motion support method of the 1st embodiment, carry out the standardization of the period of motion and the concrete example of handling averagely curve map (one of).

Fig. 9 represents the curve map (two) carrying out the standardization of the period of motion and the concrete example of handling averagely in the motion support method of the 1st embodiment.

Figure 10 be the average time to time change of the maximum of the acceleration composition representing above-below direction (x-axis direction) in the motion support method of the 1st embodiment curve map (one of).

Figure 11 be the variance time to time change of the maximum of the acceleration composition representing above-below direction (x-axis direction) in the motion support method of the 1st embodiment curve map (one of).

Figure 12 is the curve map (two) of the average time to time change of the maximum of the acceleration composition representing above-below direction (x-axis direction) in the motion support method of the 1st embodiment.

Figure 13 is the curve map (two) of the variance time to time change of the maximum of the acceleration composition representing above-below direction (x-axis direction) in the motion support method of the 1st embodiment.

Figure 14 A, Figure 14 B, Figure 14 C are the skeleton diagrams of the 2nd embodiment representing motion supportive device of the present invention.

Figure 15 A, Figure 15 B are the functional block diagrams of a kind of structure example representing the sensor device that the motion supportive device of the 2nd embodiment adopts.

Figure 16 is the functional block diagram of a kind of structure example representing the announcement apparatus that the motion supportive device of the 2nd embodiment adopts.

Figure 17 is the flow chart of the example representing the motion support method performed in the motion supportive device of the 2nd embodiment.

Figure 18 is the concept map of the 3rd embodiment representing motion supportive device of the present invention.

Figure 19 is the functional block diagram of a kind of structure example representing the information processor that the motion supportive device of the 3rd embodiment adopts.

Figure 20 is the functional block diagram of a kind of structure example representing the webserver that the motion supportive device of the 3rd embodiment adopts.

Figure 21 is the flow chart of the example representing the motion support method performed in the motion supportive device of the 3rd embodiment.

Detailed description of the invention

Below, the motion supportive device that present invention will be described in detail with reference to the accompanying and motion support method.

In addition, in the following embodiment described, addition of preferred various restriction technically to implement the present invention, but following embodiment and illustrated example can not be limited the scope of the present invention to.

< the 1st embodiment >

(motion supportive device)

Wherein, Figure 1A represents that the motion supportive device by present embodiment is arranged on the skeleton diagram of the state on human body, and Figure 1B is the outside drawing of a kind of structure example representing the sensor device adopted in the motion supportive device of present embodiment.

Fig. 2 A, Fig. 2 B are the functional block diagrams of the structure example of the motion supportive device representing present embodiment.

Wherein, Fig. 2 A is the functional block diagram of a kind of structure example of the motion supportive device representing present embodiment, and Fig. 2 B is the functional block diagram of the another kind of structure example of the motion supportive device representing present embodiment.

Fig. 3 is the 3 axial skeleton diagrams representing acceleration transducer and the angular-rate sensor adopted in the present embodiment.

The motion supportive device of the 1st embodiment such as has the mounted sensor device of chest (following, conveniently to describe as " chest equipment ") 100, and this chest equipment is according to the chest being provided at the measured and user US shown in Figure 1A.

Chest equipment 100 such as has according to roughly dividing shown in Figure 1B: equipment body 101, detects motion state and the Biont information of user US; Belt portion 102, carrys out facilities main body 101 by the chest being wound on user US.

At this, in the present embodiment, comprise the equipment body 101 of acceleration transducer 110 described later and angular-rate sensor 120, be preferably equipped in the body axle (center line of health) of the upper part of the body of user US or its near.

Specifically, chest equipment 100 (equipment body 101) such as roughly has acceleration transducer (sensor part) 110, angular-rate sensor (gyro sensor, sensor part) 120, console switch 130, computing circuit (data processing division) 140, memory 150, notification unit (information providing unit) 160 and working power 170 as shown in Figure 2 A.

The ratio (acceleration) of the change of responsiveness when user US moves measured by acceleration transducer 110.

In the present embodiment, acceleration transducer 110 has 3 axle acceleration sensors, detects respectively along orthogonal 3 axial acceleration compositions, and exports as acceleration information.

At this, as shown in Figure 3, relative to the user US in running, the axle gauge extended along the vertical direction is decided to be x-axis, and by down, the acceleration composition in (direction, ground) is defined as+direction.Wherein, x-axis is roughly consistent with the bearing of trend of the body axle of user US.

Relative to user US, the axle gauge extended in left-right direction is decided to be y-axis, by left-hand to acceleration composition be defined as+direction.

Relative to user US, the axle gauge extended along the longitudinal direction is decided to be z-axis, the acceleration composition of forward direction (direction of advance) is defined as+direction.

The acceleration information obtained by acceleration transducer 110, is stored in memory 150 described later explicitly with the time data generated by computing circuit 140 described later.

The change (angular speed) of direction of action when user US moves measured by angular-rate sensor 120.

In the present embodiment, angular-rate sensor 120 has 3 axis angular rate sensors, for orthogonal 3 axles, detects the angular speed composition produced in the direction of rotation of the rotary motion along each axle, and exports as angular velocity data.

At this, as shown in Figure 3, for these 3 axles of above-mentioned orthogonal x, y, z, by the acceleration composition towards each axle+direction and the angular speed composition resulting from clockwise direction is defined as+direction.Wherein, the angular speed that the angular speed composition produced in the direction of rotation of x-axis roughly produces with the body axle around user US is consistent.

The angular velocity data obtained by angular-rate sensor 120, is stored in memory 150 described later explicitly with the time data generated by computing circuit 140 described later.

Console switch 130 at least has power switch.This console switch 130 is operated by user US, there is provided from the driving electric power of each inscape in working power 170 supply arrangement main body 101 or cut off this electric power, thus controlling connection (startings), the disconnection (stopping) of the power supply of chest equipment 100.

In addition, also can be that console switch 130 also has sensor control switch, operate this console switch 130 by user US, control beginning or the end of the sensed activation of acceleration transducer 110 and angular-rate sensor 120.

In addition, also can be, console switch 130 only has above-mentioned power switch, operate this console switch 130 by user US and the power supply of equipment body 101 is connected (starting), the sensed activation of acceleration transducer 110 and angular-rate sensor 120 starts, on the other hand by the power supply of equipment body 101 is disconnected (stopping), above-mentioned sensed activation terminates.

Computing circuit 140 is the arithmetic units with the CPU (central operation treating apparatus) of clocking capability or MPU (microprocessor) etc., and Action clock according to the rules processes according to the control program of regulation.Thus, computing circuit 140 controls the action of each inscape and realizes the function of regulation, such as, control acceleration transducer 110 and the sensed activation of angular-rate sensor 120, various data to the notification action etc. of the preservation of memory 150 and reading operation, notification unit 160.

Computing circuit 140 is by processing according to the algorithm routine of regulation, according to the acceleration information obtained by acceleration transducer 110 and the angular velocity data obtained by angular-rate sensor 120, carry out the exercise attitudes of associated subscriber US and the analyzing and processing of motion state.Further, computing circuit 140 carries out the process of the notification signal of the action exported for controlling notification unit 160 according to this analysis result.

In addition, the control program performed in computing circuit 140 and algorithm routine can be stored in memory 150 described later, also can load computing circuit 140 in advance inner.

Memory 150 has nonvolatile memory, by the acceleration information obtained by acceleration transducer 110 and the angular velocity data obtained by angular-rate sensor 120, is kept at explicitly in the storage area of regulation with time data.

Memory 150 preserves the various data that above-mentioned computing circuit 140 uses when processing according to the control program specified and algorithm routine or the various data generated when processing according to this program temporarily.

In addition, memory 150 by obtaining by carrying out processing according to the algorithm routine of regulation in above-mentioned computing circuit 140, the result of the analyzing and processing of related activities posture and motion state, be kept in the storage area of regulation.

In addition, also can be that memory 150 has ROM (Read Only Memory: read-only storage) and flash memory, to preserve control program and the algorithm routine of afore mentioned rules.

In addition, also can be form the non-volatile memory portion of memory 150 and have wherein that part or all, as the form of the movable storage mediums such as such as storage card, and is configured to plug relative to chest equipment 100.

Notification unit 160 such as has vibration section or sound portion, produces vibration information or the acoustic information of regulation, and notify user US as motion support information according to the notification signal from computing circuit 140.Specifically, vibration section has the vibratory equipment such as vibrating motor and oscillator (vibrator), by producing the vibration mode of regulation and the vibration information such as strong and weak thereof, to be provided or notify various information by sense of touch to user US.

Sound portion has the stereo set such as buzzer and loudspeaker, by producing tone color and the acoustic information such as acoustic pattern, speech message of regulation, to be provided or notify various information by the sense of hearing to user US.

In addition, notification unit 160 also can have above-mentioned sound portion and vibration section both sides, can also be only have any one party in sound portion and vibration section.

Working power 170 provides driving electric power to each inscape of chest equipment 100 (equipment body 101).Working power 170 can adopt the secondary cells such as one-shot battery, lithium ion battery or Ni-MH battery such as coin cell or push button battery that such as market is sold.

Working power 170, except these one-shot batteries and secondary cell, can also adopt and utilize vibration or light, heat, electromagnetic wave homenergic carry out the power supply etc. based on environment generating (collection of energy) technology that generates electricity.

In addition, also can be that chest equipment 100 such as shown in Figure 2 B, except above-mentioned acceleration transducer 110 and angular-rate sensor 120, also has other sensor such as heartbeat sensor 180 and GPS receiving circuit 185.

Wherein, heartbeat sensor 180 detects the change of the ECG signal of the user US in motion, and exports as heartbeat data (Biont information).

The heartbeat data obtained by heartbeat sensor 180, is stored in the storage area of the regulation of memory 150 explicitly with time data.

GPS receiving circuit 185 passes through from multiple GPS (global positioning system: Global PositioningSystem) satellite reception electric wave, detect the current location of user US and height etc., and export as gps data (geography information).

The gps data obtained by GPS receiving circuit 185, is stored in the storage area of the regulation of memory 150 explicitly with time data.

These Biont informations and gps data are used to detect by computing circuit 140 state being applied in abnormal exercise load, or use when analyzing the relevance with the exercise attitudes of user US and motion state.Details are aftermentioned.

(motion support method)

Below, the motion support method of the motion supportive device of present embodiment is described.

Fig. 4 is the flow chart of the example representing the motion support method performed in the motion supportive device of present embodiment.

Fig. 5 is the figure for illustration of extracting the process of a periodic quantity of running action in the motion support method of present embodiment.

Fig. 6 A, Fig. 6 B and Fig. 7 A, Fig. 7 B are the figure for illustration of the process identifying left and right leg when running in the motion support method of present embodiment.

In the motion support method of present embodiment, as illustrated in the flow diagram of fig. 4, first user US operation is installed in the console switch 130 of the chest equipment 100 on health, switches on power thus and chest equipment 100 is started (step S101).

Further, in the acceleration transducer 110 and angular-rate sensor 120 of chest equipment 100, sensed activation is started.

Thus, 3 of (during running) axial acceleration composition and angular speed compositions when detecting that user US moves, and collect as acceleration information and angular velocity data (being generically and collectively referred to as below " action data "), and be kept at (step S102) in the storage area of the regulation of memory 150 at any time.

At this, such as, perform the sensed activation of acceleration transducer 110 and angular-rate sensor 120 according to the sampling frequency of 100 ~ 200 times (i.e. 100 ~ 200Hz) about per second.

Then, according to the action data collected, computing circuit 140 processes according to the algorithm routine of regulation, performs the analyzing and processing (step S103) of related activities posture as follows and motion state thus.

Specifically, computing circuit 140 such as performs following process: period of motion extraction process, extracts and become the one-period that running waits the basis of running action from the action data collected; Left and right action identifying processing, identifies that the action data in each cycle is the action data relevant to the action of which the bar leg of left and right during running action; Whether good motion state determination processing, judge exercise attitudes in a series of running action and comprise the running form of left-right balance.

(1) period of motion extraction process

Usually, wait in running action in running, 1 cycle that such as the total two step amount of each step in left and right shown in the epimere of such as Fig. 5 can be defined as (runs the cycle, the period of motion): namely carry out from one leg kicks out of (referring to that left leg is liftoff in the drawings), through another one leg land (right leg lands) and kick out of (right leg is liftoff), one leg land (left leg lands), again kick out of the action of (left leg is liftoff) to one leg.

On the other hand, in a series of running action, the acceleration composition of above-below direction (x-axis direction) in the acceleration information obtained by acceleration transducer 110, such as, as shown in the hypomere of Fig. 5, represents that every left and right one step has periodic signal waveform.

Situation accordingly, 2 periodic quantities in the acceleration composition of above-below direction are by 1 cycle corresponded in running action (running the cycle).

Therefore, by setting specific basic point (details are described in action identifying processing in left and right described later) according to the acceleration composition of the above-below direction obtained by acceleration transducer 110, stably can extract every 1 cycle in the running action that user US carries out the action data of (right leg and left leg are alternately during each movement a series of action once: the period of motion), and can time in this cycle of Measurement accuracy.

Usually the index used in running etc. and beat (pitch) are the step numbers of 1 minute, thus by the number of times in cycle of every 1 minute in the signal waveform of the acceleration composition of the above-below direction shown in hypomere of survey map 5, the beat in this moment (or near) can be calculated.

(2) left and right action identifying processing

The acceleration composition of above-below direction is only used in the process in the cycle in above-mentioned extraction running action.Therefore, for the action of each step, the signal waveform of step when can not identify the action representing and carry out right leg forward rocking motion or represent the signal waveform of step when carrying out the action of left leg forward rocking motion.

In addition, be not limited to running action, when utilizing various sensor senses motion state, the motion of the known muscle due to human body and the vibration passing to equipment etc. and the various noises caused are blended in action data, sometimes can not time in Measurement accuracy above-mentioned cycle.

Therefore, in the present embodiment, utilize the method as shown in Fig. 6 A, Fig. 6 B, the process of the process simultaneously performing the action of left and right any the bar leg forward rocking motion be used in identification maneuver data representation running action and the impact suppressing the various noises comprised in action data.

Use Fig. 6 A, Fig. 6 B that the establishing method becoming the timing of the basic point in 1 cycle in above-mentioned period of motion extraction process is described.

Wherein, the curve map of Fig. 6 A is the signal waveform of the acceleration composition of the above-below direction (x-axis direction) of the user US represented in motion.

The curve map of Fig. 6 B is the signal waveform representing the angular speed composition produced in the direction of rotation of this x-axis.

In fig. 6, signal waveform SA1 represents the acceleration composition (so-called initial data) in the x-axis direction detected by acceleration transducer 110 itself.Signal waveform SA2 represents the filtering process carrying out based on low pass filter to signal waveform SA1, is the signal waveform after the frequency content higher than the cut-off frequency of regulation reduces.

Equally, in fig. 6b, signal waveform SJ1 represents the angular speed composition itself (initial data) that the direction of rotation in x-axis detected by angular-rate sensor 120 produces.Signal waveform SJ2 represents the filtering process carrying out based on low pass filter to signal waveform SJ1, the signal waveform after the frequency content higher than the cut-off frequency of regulation is reduced.

As shown in Fig. 6 A, Fig. 6 B, due to the impact etc. during the leg tap-tap ground of user US in running, the part (being expressed as NA, NJ in the drawings, so-called surge waveform) that waveform significantly changes all is there is in the signal waveform SA1 of the acceleration composition in the x-axis direction detected by the acceleration transducer 110 and signal waveform SJ1 of the angular speed composition of relevant x-axis that detected by angular-rate sensor 120.

The change of such waveform is the signal component very useful when analyzing exercise attitudes (running form) and motion state.

But, in the process of the motion of the left and right leg in the process and identification running action in 1 cycle (period of motion) of extracting in running action as above, become the signal component hindering good process together with other noise.

Therefore, in the present embodiment, use the low pass filter setting lower by cut-off frequency, the signal waveform SJ1 of the signal waveform SA1 to the acceleration composition in x-axis direction and the angular speed composition about x-axis carries out powerful filtering process.

Thus, the higher frequency content comprising above-mentioned surge waveform is reduced from the signal waveform SA1 of acceleration composition and the signal waveform SJ1 of angular speed composition, as shown in Fig. 6 A, Fig. 6 B, surge waveform can be obtained and to flatten sliding signal waveform SA2, SJ2.

At this, as shown in Figure 6A, in the signal waveform SA2 of the acceleration composition in the x-axis direction obtained by above-mentioned filtering process, the value of acceleration reaches-1000mG (=-1G, be equivalent to acceleration of gravity) following timing (being expressed as P1 in the drawings), to drop on the ground timing that lands roughly consistent with the leg of user US.

As shown in Figure 6A, in the signal waveform SA1 of the acceleration composition in the x-axis direction detected by acceleration transducer 110 itself, minimum (the peak value of the absolute value of acceleration that occur after P1 timing in above-mentioned signal waveform SA2, acceleration, be expressed as P2 in the drawings) timing, it is roughly consistent that the left and right leg one leg being applied to user US energetically with body weight on the whole maximum increases the weight of timing.

In the present embodiment, the timing setting this acceleration being reached minimum P2 is the basic point (initial point and terminal) in the process in 1 cycle (period of motion) in above-mentioned extraction running action.

In addition, as shown in Fig. 6 A, Fig. 6 B, in the signal waveform SJ2 of the angular speed composition produced in the direction of rotation in x-axis obtained by above-mentioned filtering process, detecting with the timing of the minimum P2 in the signal waveform SA1 of the acceleration composition in this x-axis direction is the polarity of phase angular speed (being expressed as P3 in the drawings) in the same time.

At this, the relation of the angular speed of the chest of the running actions such as running and human body usually as shown in Figure 7 A.

That is, carrying out left leg is landed to lower swing, left leg, and with left leg tap-tap ground, make right leg forward rocking motion and during a series of actions of lifting, (+direction just) rotates chest right direction.

On the other hand, as shown in Figure 7 B, carry out making right leg to lower swing, right leg land and with right leg tap-tap ground, make left leg forward rocking motion and during a series of actions of lifting, chest left direction (-direction, negative) rotates.

That is, by during comprising TBW and being applied to the regulation of the timing in the leg of left and right on certain one leg, detect the polarity of the angular speed produced in the direction of rotation of x-axis, the health in known motion to which direction rotates.If learn the direction of rotation of this health, then can differentiate that the leg landed is right leg or left leg.

In the action data shown in Fig. 6 A, Fig. 6 B, be the polarity of phase angular speed P3 in the same time in the signal waveform SJ2 of the angular speed composition that direction of rotation in x-axis direction produces, with P2 timing just (+) be, thus the upper part of the body comprising chest of user US is to right rotation.Therefore, determine and be now in that left leg falls on the ground, right leg is about to the state that steps forward.

Like this, by setting specific basic point, accurately can extract 1 cycle in the running such as running action, and accurately can differentiate the motion of left and right leg.

In addition, the curve map shown in Fig. 6 A, Fig. 6 B only obtained by the chest equipment 100 being installed on chest, the acceleration composition of above-below direction (x-axis direction) and the example of angular speed composition that produces in the direction of rotation of this x-axis.

According to the various checkings of the present application person, the considerable influence of installation site etc. that acceleration composition and angular speed composition receive the exercise attitudes (running form) of user US and jog mode, sensor device can be confirmed.

Such as, about sensor device, when sensor device being installed on waist at alternative above-mentioned chest equipment 100, increasing relative to the phase difference of the angular speed obtained by chest equipment, also there is the situation of the polarity inversion of the signal waveform of the angular speed composition shown in Fig. 6 B.

In this case, in above-mentioned left and right action identifying processing, also can make as identifying that the leg landed is that the polarity (relation of the running action shown in Fig. 7 A, Fig. 7 B and angular speed) of the benchmark of right leg or left leg is reversed.

(3) motion state determination processing

Below, according to the cycle in the running action extracted by above-mentioned period of motion extraction process and the motion of left and right leg that determined by left and right action identifying processing, judge that the whether good and motion state of the exercise attitudes of user US has unchanged etc.

First, wait running action about running, a series of actions shown in Fig. 5 described above is formed by according to the sampling action repeatedly performed shown in Fig. 6 A, Fig. 6 B.

At this, in the running action shown in Fig. 6 A, Fig. 6 B, the slight change comprised in signal waveform step by step, can not produce larger impact when judging exercise attitudes (running form).

Therefore, in order to accurately grasp the feature of exercise attitudes (running form), needing the cycle of accurately extracting in above-mentioned running action, and process is averaged to the sampling action in motion.

Thereby, it is possible to grasp the tendency of larger change of the signal waveform of each cycle, and the change etc. of the whether good of exercise attitudes and motion state can be judged according to this long-run average.

The situation of carrying out following process is described in the present embodiment, namely, with the shape of the signal waveform of the acceleration composition of above-below direction (x-axis direction) independently, in order to stablize and extract a cycle exactly, shown in Fig. 6 A, in the signal waveform SA1 of the acceleration composition in x-axis direction, occur reach the P1 timing of below-1G with the value of the signal waveform SA2 of the acceleration composition in the x-axis direction after filtering process after, the timing of minimum P2 extracts a cycle for basic point.

At this, in the curve map shown in Fig. 6 A, show the situation that the timing of minimum and the P2 occurred at first in minimum that occur after reaching the P1 timing of below-1G with the value of the signal waveform SA2 of the acceleration composition in the x-axis direction after filtering process, the signal waveform SA1 of acceleration composition is basic point.But, the present invention is not limited thereto.

That is, show such as in the signal waveform SA1 of the acceleration composition of the above-below direction (x-axis direction) shown in Fig. 6 A, each walks out of the situation of existing twice downward peak value.

Learn that the shape of the signal waveform comprising this peak value depends on running form as the user US of the measured and jog mode greatly.That is, such as both there is the situation that each walks out of an existing minor peaks, also there is the situation that each walks out of existing three minor peaks.

Like this, to exist in the acceleration composition in above-below direction (x-axis direction) each walk out of existing once and even the situation of repeatedly downward peak value.Therefore, also can process like this: by occur after the P1 timing in signal waveform SA2, in the minimum of the signal waveform SA1 of acceleration composition the timing of specific minimum (such as the 2nd minimum or the last minimum etc. occurred) be that basic point extracts a cycle.

In addition, according to the various checkings of the present application person, can confirm by carry out by occur after the P1 timing in signal waveform SA2, in the minimum of the signal waveform SA1 of acceleration composition the last minimizing timing occurred be the process that basic point extracts a cycle, can more stablize and extract a cycle exactly.

In addition, how much different the value of the time in the cycle in the running action of extracting according to the acceleration composition in x-axis direction is as mentioned above because of each cycle.Therefore, the standardization processing time specification in each cycle being turned to the time (being 100msec in Fig. 8, Fig. 9) be equal to each other is carried out.Then, the average process that this is typically canonicalized each signal waveform in each cycle after process is carried out obtaining.

Carry out the concrete example of the standardization of this period of motion and handling averagely as shown in Figure 8 and Figure 9.

Fig. 8 is curve map as described below, show for when in the acceleration composition in above-below direction (x-axis direction), each walks out of existing once downward peak value, 3 axial each acceleration compositions and the angular speed composition that produces in the direction of rotation of each axle, extract the cycle in running action according to the above, and carry out the result of standardization processing and handling averagely.

Fig. 9 is curve map as described below, show for when in the acceleration composition in above-below direction (x-axis direction), each walks out of existing twice downward peak value, 3 axial each acceleration compositions and the angular speed composition that produces in the direction of rotation of each axle, extract the cycle in running action, and carry out the result of standardization processing and handling averagely.

At this, in the curve map shown in Fig. 8, Fig. 9, carry out standardization processing and the overlapping result drawn by the signal waveform that fine rule shows for 10 periodic quantities in running action.Further, the average of each signal waveform is shown with thick line.

According to these curve maps, by above-mentioned a series of process, can distinguish that the signal waveform in each cycle is extracted with the state that deviation is each other less and more stable.

Therefore, by carrying out standardization processing and the handling averagely of the period of motion like this, can clearly when user US runs with fixing speed, comprise the exercise attitudes (running form) of the inclination of health (body axle) and degree of rotation etc. and the feature (the first analysis project) of jog mode.

In addition, in the standardization processing of the period of motion in above-mentioned running action and handling averagely, when add the signal waveform in each cycle of a periodic quantity relative to the difference of the mean value of the period of motion and the value obtained exceedes the certain value preset, carry out the process of removing this cycle from the object of handling averagely.

Thereby, it is possible to got rid of by the action data containing exceptional value, grasp the feature of the original exercise attitudes of user US and jog mode more accurately.

In addition, in the standardization processing of the period of motion in above-mentioned running action and handling averagely, carry out the process of the signal waveform of mean value for determining whether to detect continuously the bias motion cycle (or taking mean value as certain scope of benchmark).

Whether change (the second analysis project) thereby, it is possible to detect the motion state such as exercise attitudes and movement velocity (velocity) to each period of motion.

In left and right action identifying processing in above-mentioned running action, the differentiation result of left and right leg is kept in memory 150 together with the acceleration composition of the above-below direction (x-axis direction) now detected.Thus, the process of the balance (the 3rd analysis project) of the power (playing power) for analyzing leg tap-tap ground, left and right in running action is carried out.

Specifically, differentiate be any bar leg in the leg of left and right time the acceleration composition of above-below direction, roughly proportional with the power of playing during the leg tap-tap ground determined in running action.

Therefore, by calculating the average of acceleration composition and dispersion every the set time (such as 10 seconds), and analyzing these average and dispersions over time, clearly can run and waiting the left-right balance of power of playing in running action and the change of this balance.

Figure 10 ~ Figure 13 represents the concrete example to wait the average of that the training degree of running action the measured (runner) different with proficiency goes out for calculation and object, above-mentioned acceleration composition and dispersion curve over time about running.

Figure 10 according to the elapsed time with curve form represent with wait running action to carry out to train running or skilled the measured in object and the action data collected, every maximum average of the acceleration composition of the above-below directions of 10 seconds (x-axis direction).

Figure 11 to represent the dispersion of the maximum of acceleration composition in the action data collected for object with this measured, above-mentioned with curve form according to the elapsed time.

Figure 12 with curve form represent with do not wait running action to carry out to train running or unskilled the measured in object and the action data collected, every maximum average of the acceleration composition of the above-below directions of 10 seconds (x-axis direction).

Figure 13 represents the dispersion of the maximum of acceleration composition in the action data collected for object with this measured, above-mentioned with curve form.

Wherein, in the curve map shown in Figure 10 ~ Figure 13, represent the average of the acceleration composition of the left and right leg above-below direction separately (x-axis direction) identified in above-mentioned left and right action identifying processing or dispersion with the fine rule of variable concentrations, represent the average of the acceleration composition of the above-below direction of two legs or dispersion with thick line.

In the curve map shown in Figure 10, carry out analysis to the extreme mean of the acceleration of above-below direction (x-axis direction) known, by action of running for a long time, the difference of the power of playing of left and right leg increases along with the process of time.

In the curve map shown in Figure 11, carry out analysis to the extreme value dispersion of the acceleration of above-below direction known, in the scope of shorter time, the deviation of the power of playing of left and right leg is minimum.

According to these situations, this measured (runner) although jog mode itself is stable, the balance with left and right leg along with the time through and the tendency broken.

On the other hand, in the curve map shown in Figure 12, carry out analysis known to the extreme mean of the acceleration of above-below direction, by action of running for a long time, the difference of the power of playing of left and right leg is not passed through along with the time and increases, but roughly the same.

In the curve map shown in Figure 13, carry out analysiss known to the dispersion of the extreme value of the acceleration of above-below direction, than in the scope of short period, the deviation of the power of playing of left and right leg is always larger.

According to these situations, although the bias of this measured in the balance of left and right leg is less, jog mode itself is unstable.

Like this, in the left and right action identifying processing of above-mentioned running action, during by being identified in running, acquired action data is the data produced based on which the bar leg in the leg of left and right, and analyze the tendency of its long-term change, the feature of the exercise attitudes (running form) that can judge that user US is long when running temporally and comprise the tendency of change of jog mode of left-right balance.

In addition, in the left and right action identifying processing of above-mentioned running action, such method is shown, filtering process is carried out by the acceleration composition of low pass filter to the above-below direction (x-axis direction) acquired when running, after its signal waveform SA2 reaches-1G (acceleration of gravity) timing below (P1), according to reaching the timing of the minimum P2 identical moment with the signal waveform SA1 of acceleration composition, the polarity of the signal waveform SJ2 of angular speed composition that produces in the direction of rotation of x-axis, identify the motion of left and right leg.

The method tackles the method for following situation, namely in above-mentioned motion state determination processing, when analyzing the change of the exercise attitudes in each cycle of running action of user US and motion state, need the situation measuring the period of motion (cycle) accurately.

Here, in the exercise attitudes of running action and the determination processing of motion state of user US, for the analysis project not needing to measure the period of motion accurately, such as, left and right leg during the running action analytically stated play dynamic balance (the 3rd analysis project) time, also can adopt method as described below.

Namely, measure such timing: namely in the signal waveform SA1 of the acceleration composition of the above-below direction (x-axis direction) shown in Fig. 6 A, reduce at this acceleration composition and exceed value (2 times of such as acceleration of gravity of regulation,-2G=-2000mG) after, this acceleration composition changes the timing of the point (i.e. minimum P2) of increase into.

Thus, detect that body weight is applied on the whole maximum of certain one leg in the left and right leg of user US energetically and increases the weight of timing, and the impact of the smaller noise comprised in the acceleration composition in the x-axis direction detected by acceleration transducer 110 itself can not be subject to.

In addition, in the signal waveform SJ1 of the angular speed composition produced in the direction of rotation in the x-axis as shown in Figure 6B or signal waveform SJ2 that obtains by carrying out filtering process to signal waveform SJ1, detecting with above-mentioned timing is the polarity of phase angular speed in the same time.

When this polarity be just (+), be identified as that left leg lands, chest right direction rotate, and when polarity is for negative (-), be identified as that right leg lands, chest left direction rotates.

In the present embodiment, as shown in Figure 2 B, when chest equipment 100 has the sensor of the detection Biont information such as heartbeat sensor 180 and GPS receiving circuit 185 and geography information, also analyzing and processing as described below can be carried out.

Namely, computing circuit 140 is handled as follows: according to such as calculating beats by the heartbeat data of heartbeat sensor 180 test constantly in running action, and analyzes the change of this numerical value and numerical value, the relevance with the above-mentioned feature of exercise attitudes and the change of motion state.

Thereby, it is possible to judge when being applied with the exercise load of which kind of degree, exercise attitudes and the jog mode that comprises left-right balance create change (that is, whether left-right balance is broken).

In addition, the Biont informations such as measured beats also can identically with the curve map such as shown in Figure 10 ~ Figure 13, adopts it is curved over time and information that is that obtain.

The various data (analysis data) generated in above analyzing and processing and analysis result, with the state of being mutually related or separate state, are stored in the storage area of the regulation of memory 150.

In addition, as the data be kept in memory 150, by preferentially preserving the analysis data and its analysis result that are generated by above-mentioned analyzing and processing, and delete the action data itself (initial data) obtained by acceleration transducer 110 and angular-rate sensor 120 at any time, the memory capacity that data are preserved can be cut down.

Especially in the present embodiment, adopt in above-mentioned analyzing and processing and the acceleration of multiple periodic quantity and angular speed are averaged, and the method for the feature of exercise attitudes and jog mode is on average judged according to this, thus do not need to preserve jumbo action data itself in memory 150, the memory capacity of memory 150 can be made to become comparatively low capacity.

In addition, computing circuit 140, according to the result of above-mentioned various analyzing and processing, generates the notification signal being used for this analysis result being notified user US, and exports to notification unit 160 at any time.

In addition, the situation that computing circuit 140 has such as departed from the scope of the expression kilter preset and threshold value in the change of the exercise attitudes (running form) obtained by above-mentioned various analyzing and processing and motion state is inferior, generates and is used for the notification signal notifying this state (abnormality etc.).

Then, notification unit 160 is according to the notification signal exported from computing circuit 140, make in this motion, produce regulation vibration information and acoustic information, the result (especially abnormality) of above-mentioned various analyzing and processing is informed to user US (step S104) as motion support information.

Thus, provide motion support information by the sense of touch of user US and the sense of hearing, thus user US reliably can identify the change of exercise attitudes and motion state and abnormal etc. at the volley.

Then, determine whether to terminate above-mentioned a series of process (step S105).

Specifically, such as judge that whether the power supply of chest equipment 100 disconnects or whether carried out operation (whether having equipment to stop indicating) that the sensed activation of acceleration transducer 110 and angular-rate sensor 120 is stopped by user US.

When not having equipment to stop instruction, computing circuit 140 returns step S102, repeatedly performs above-mentioned a series of motion support method (step S102 ~ S104).

On the other hand, when there being equipment to stop instruction, computing circuit 140 terminates above-mentioned motion support method.

As mentioned above, in the present embodiment, when being obtained action data by chest equipment 100 monomer at the volley, analyzing the change of exercise attitudes and motion state and be judged to be in specific state, for notifying that the motion support information of this state is supplied to user US roughly in real time.

Therefore, user US only installs the motion supportive device of easy structure, the change of exercise attitudes and motion state and abnormal etc. can be identified at the volley roughly in real time, and rapid correction motion posture and motion state etc., the movement technique (jog mode) for continuing suitable posture and state can be learnt.

In addition, in the present embodiment, the situation by notification unit 160, the analysis result based on the action data obtained at the volley being notified roughly in real time user US is described.But, the present invention is not limited thereto.

Namely, chest equipment 100 shown in present embodiment also can have following structure, namely the information processor (such as PC and smart phone, tablet terminal etc. omit diagram) also had externally carries out the interface portion of the transmission of various data.

Thus, also can will generate in the analyzing and processing based on the action data obtained at the volley and the analysis data be kept in memory 150 and analysis result, outside information processor is transferred to by described interface portion after motion terminates, and be presented at the display part etc. of this information processor as numeric data, and the curve map of indication example as shown in Fig. 8 ~ Figure 13.

In this case, transmit the analysis data and analysis result that generate above-mentioned analyzing and processing or only transimiison analysis result from chest equipment 100 information processor externally, and the action data itself obtained not included in motion.Therefore, it is possible to significantly shorten the time required for data transmission.

Thus, by vision, the tendency etc. of the feature of exercise attitudes and the change of motion state can be supplied to user US, thus user US can grasp the exercise attitudes and jog mode etc. of oneself intuitively, and effectively can embody analysis result when motion from now on.

In addition, about the interface portion that chest equipment 100 has, be described in detail in the 2nd embodiment.

< the 2nd embodiment >

Below, motion supportive device and the motion support method of the 2nd embodiment of the present invention are described.

Describing the action data according to being obtained when user US moves by chest equipment 100 monomer be arranged on health in the above-described first embodiment, analyzing the feature of exercise attitudes and the change etc. of motion state.Further, when creating specific state, the situation of this state is notified in real time by the notification unit 160 being located at chest equipment 100.

The feature of the 2nd embodiment of the present invention is, except chest equipment 100, also has the announcement apparatus of the split be arranged on health, the analysis results such as the feature of exercise attitudes and the change of motion state are supplied to user US in real time by announcement apparatus.

(motion supportive device)

Wherein, Figure 14 A represents that the motion supportive device by present embodiment is arranged on the skeleton diagram of the state on human body.

Figure 14 B is the outside drawing of a kind of structure example representing the sensor device that the motion supportive device of present embodiment adopts.

Figure 14 C is the outside drawing of a kind of structure example representing the announcement apparatus that the motion supportive device of present embodiment adopts.

Figure 15 A, Figure 15 B are the functional block diagrams of a kind of structure example representing the sensor device that the motion supportive device of present embodiment adopts.

Wherein, Figure 15 A is the functional block diagram of a kind of structure example of the sensor device representing present embodiment.

Figure 15 B is the functional block diagram of the another kind of structure example of the sensor device representing present embodiment.

Figure 16 is the functional block diagram of a kind of structure example representing the announcement apparatus that the motion supportive device of present embodiment adopts.

At this, identical or equal label is marked for the structure that the 1st embodiment with above-mentioned is identical, and simplifies its explanation.

The motion supportive device of the 2nd embodiment such as has the chest equipment 100 of the chest being installed in user US as shown in Figure 14 A and is installed in Wristwatch type or the bracelet-shaped announcement apparatus (following, conveniently to describe as " wrist equipment ") 200 of wrist (little arm) etc.

Chest equipment 100 has the outward appearance identical with the 1st above-mentioned embodiment as shown in Figure 14B.

Wrist equipment 200 such as has according to roughly dividing shown in Figure 14 C: equipment body 201, and the analysis result such as change to the feature of major general's exercise attitudes and motion state notifies user US; Belt portion 202, carrys out erection unit main body 201 by the wrist being wound on user US.

Chest equipment 100 (equipment body 101) such as has the structure as shown in Figure 15 A, Figure 15 B, namely in the structure shown in above-mentioned 1st embodiment (with reference to Fig. 2 A, Fig. 2 B), eliminates notification unit 160, and arranges interface portion 190.

In addition, chest equipment 100 also can have such structure, namely on the architecture basics shown in above-mentioned 1st embodiment (with reference to Fig. 2 A, Fig. 2 B), also has interface portion 190.

Wherein, acceleration transducer 110, angular-rate sensor 120, console switch 130, computing circuit 140, memory 150 are identical with the 1st above-mentioned embodiment with working power 170, and thus the description thereof will be omitted.

Interface portion 190 plays a role as communication interface, performed to major general by computing circuit 140, according to the result of the exercise attitudes of associated subscriber US and the analyzing and processing of motion state and the notification signal generated sends to wrist equipment 200.

Also can be, interface portion 190 is by this notification signal and generate in above-mentioned analyzing and processing and the analysis data be kept in memory 150 and analysis result (data required for the curve display specifically, such as, shown in fingering row Fig. 8 ~ Figure 13) send to wrist equipment 200.

In addition, about the method being transmitted data and information etc. by interface portion 190 between chest equipment 100 and wrist equipment 200, such as, can adopt the various communication such as bluetooth (Bluetooth (registration mark)) or Wireless Fidelity (WiFi:wireless fidelity (registration mark)) or the various wire communication modes by communications cables such as such as USB (Universal Serial Bus: USB) cables.

Computing circuit 140, by processing according to the control program of regulation, controls the data transfer activity of various action shown in the 1st above-mentioned embodiment and interface portion 190.

Specifically, wrist equipment 200 such as roughly has console switch 230, computing circuit 240, memory 250, notification unit (information providing unit) 260, working power 270 and interface portion 290 as shown in figure 16.

Console switch 230 can be such as protrude the switch of push button arranged as shown in Figure 14 C in the side of equipment body 201, also can be the switch of the touch panel formula arranged in the front face side (side, the visual field) of the display part 262 arranged as notification unit 260 described later.

The action control of console switch 230 when notifying the result of analyzing and processing performed in chest equipment 100 or use when the various input operation such as setting of the project that display part 262 shows.

Computing circuit 240 is the arithmetic units such as CPU or MPU with clocking capability, by processing according to the control program of regulation, control the action of each inscape such as the notification action of notification unit 260 described later and the data transfer activity of interface portion described later 290, and realize the function of regulation.

In addition, the control program performed in computing circuit 240 can be stored in memory 250 described later, also can load computing circuit 240 in advance inner.

Memory 250 has nonvolatile memory, the notification signal of the correspondence analysis result sent to major general from chest equipment 100, is kept at explicitly the storage area of regulation with the time data generated by computing circuit 240.

Memory 250, by above-mentioned notification signal and the analysis data generated analyzing and processing sent from chest equipment 100 and its analysis result, is kept in the storage area of regulation explicitly with time data.

Memory 250 also can preserve the control program of above-mentioned regulation.

In addition, also can be, form the non-volatile memory portion of memory 250 have its part or all as the form of the movable storage mediums such as such as storage card, and be configured to plug relative to wrist equipment 200.

Notification unit 260 such as display part 262, vibration section 264 and sound portion 266 as shown in fig. 16.

Display part 262 such as has the display floater of crystal liquid mode or light-emitting component mode etc., image information and the character information of regulation is shown according to the notification signal at least sent from chest equipment 100, and by the illuminated message of the glow color that sends regulation and light-emitting mode etc., notify motion support information by vision to user US.

Also can be that the analysis data sent from chest equipment 100 and analysis result are directly shown as numeric data by display part 262, and the curve map of indication example as shown in Fig. 8 ~ Figure 13.

In addition, display part 262 also can show the various information such as current time and running time, beat, overlapping time.

Vibration section 264 and sound portion 266 have the function identical with the notification unit 160 of the chest equipment 100 shown in above-mentioned 1st embodiment, by producing vibration information and the acoustic information of regulation according to the notification signal at least sent from chest equipment 100, provide motion support information by sense of touch and the sense of hearing to user US.

At this, the motion support information provided by vibration section 264 and sound portion 266 also can be the information linked with the display of display part 262.

In addition, notification unit 260 also can have such structure, namely has at least any one party in display part 262 and vibration section 264 and sound portion 266.

Working power 270 provides driving electric power to each inscape of equipment body 201 inside of wrist equipment 200.

Working power 270 identically with above-mentioned chest equipment 100, except can adopting known one-shot battery and secondary cell, can also adopt the power supply etc. based on environment generation technology.

Interface portion 290 at least plays a role as communication interface when receiving the notification signal sent from chest equipment 100.

Also can be that interface portion 290 receives this notification signal and the analysis data that generate and analysis result by the analyzing and processing performed in the computing circuit 140 of chest equipment 100.

(motion support method)

Figure 17 is the flow chart of the example representing the motion support method performed in the motion supportive device of present embodiment.

At this, omit the explanation about the identical step of the 1st embodiment with above-mentioned.

In the motion support method of present embodiment, as shown in the flowchart of fig. 17, first the power supply of the chest equipment 100 be arranged on health and wrist equipment 200 is connected and starts these equipment (step S201) by user US.

Thus, between chest equipment 100 and wrist equipment 200, carry out the synchronous etc. of Action clock.

Further, in chest equipment 100, start the sensed activation of acceleration transducer 110 and angular-rate sensor 120.Thus, collect the action data of user US (in running) at the volley, and be kept at (step S202) in the storage area of the regulation of memory 150 at any time.

Then, identically with the 1st above-mentioned embodiment, according to the action data collected, performed the various analyzing and processing (step S203) comprising period of motion extraction process, left and right action identifying processing, motion state determination processing by computing circuit 104.

Thus, according to the result of above-mentioned various analyzing and processing, generate the notification signal for notifying this analysis result.

Specifically, the situation having departed from the kilter preset in the change of the exercise attitudes (running form) obtained by above-mentioned various analyzing and processing and its motion state is inferior, generates and is used for the notification signal notifying this state (abnormality etc.).

Then, the notification signal generated by interface portion 190, utilize such as communication to be transferred to wrist equipment 200 (step S204) at any time from chest equipment 100.

And, in wrist equipment 200, according to the notification signal sent from chest equipment 100, make to produce from notification unit 260 display or vibration or sound that specify in this motion, thus the result (especially abnormality) of above-mentioned various analyzing and processing is notified user US (step S205) as motion support information.

Thus, provide motion support information by the vision of user US and sense of touch, the sense of hearing, thus user US reliably can identify the change of exercise attitudes and motion state and abnormal etc. at the volley.

Then, determining whether to terminate above-mentioned a series of process, when not ending process, returning step S202 and repeatedly performing a series of motion support method (step S202 ~ S205), when ending process, terminating motion support method.

As mentioned above, in the present embodiment, user US obtains the action data in motion by the chest equipment 100 being installed on chest.Further, when analyzing the change etc. of exercise attitudes and motion state and when being judged to be in specific state, for notifying that the notification signal of this state is sent to the wrist equipment 200 being installed on wrist at any time.

Further, corresponding with the notification signal received by wrist equipment 200 motion support information is supplied to user US roughly in real time.

Therefore, user US can utilize the motion support information provided from the wrist equipment 200 being installed on wrist, identify the change of exercise attitudes at the volley and motion state and abnormal etc. roughly in real time, and rapid correction motion posture and motion state etc., the movement technique (jog mode) for continuing suitable posture and state can be learnt.

In this case, only transmit to wrist equipment 200 notification signal generated according to above-mentioned analysis result from chest equipment 100, the action data etc. obtained not included in motion, thus significantly can reduce the electric power required for data transmission.Therefore, it is possible to long-time actuation movement supportive device (chest equipment 100 and wrist equipment 200).

In addition, in the present embodiment, describe and the notification signal generated according to the analysis result based on the action data obtained at the volley by chest equipment 100 is sent to wrist equipment 200 at any time, and inform the situation of user US roughly in real time as motion support information.But, the present invention is not limited thereto.

Namely, also can be, analysis data in analyzing and processing based on the action data obtained at the volley by chest equipment 100 and analysis result are transferred to wrist equipment 200 by motion supportive device shown in present embodiment at any time, numeric data is shown as in the display part 262 of this wrist equipment 200, and the curve map of indication example as shown in Fig. 8 ~ Figure 13.

Thus, roughly in real time the tendency etc. of the feature of exercise attitudes and the change of motion state can be supplied to user US by vision, thus user US can grasp the exercise attitudes and jog mode etc. of oneself intuitively, and analysis result can be embodied in rapidly in current motion.

In the present embodiment, describe by based on the action data obtained at the volley by chest equipment 100 analysis result, notify the situation of user US roughly in real time from wrist equipment 200.But, the present invention is not limited thereto.

Namely, also can identically with the 1st above-mentioned embodiment, to generate in the analyzing and processing based on the action data obtained at the volley by chest equipment 100 and the analysis data be kept in memory 150 and analysis result, outside information processor (such as PC and smart phone, tablet terminal etc. is transferred to by interface portion 190 after motion terminates, omit diagram), numeric data is shown as in the display part etc. of this information processor, and at the curve map of display part indication example as shown in Fig. 8 ~ Figure 13.

Thus, user US can grasp oneself exercise attitudes and jog mode etc. intuitively by vision, and effectively can embody analysis result when motion from now on.

In the present embodiment, notify that one of the announcement apparatus of user US is routine as by the analysis result based on the action data obtained at the volley by chest equipment 100 with its notification signal, describe the wrist equipment 200 of the wrist being installed on user US.But, the present invention is not limited thereto.

That is, as long as the present embodiment announcement apparatus that can adopt can by the sensation of vision and the people such as sense of touch, the sense of hearing, analysis result is carried out as motion support information the equipment that provides.Therefore, announcement apparatus also can adopt the earphone-type that is such as installed on ear or the various forms of equipment such as choker, the Sports spectacles formula being installed on neck, such as, can also be equipment smart phone being installed on upper arm parts.

< the 3rd embodiment >

Below, motion supportive device and the motion support method of the 3rd embodiment of the present invention are described.

In the above-mentioned the 1st and the 2nd embodiment, describing the action data according to being obtained when user US moves by chest equipment 100, carrying out the situation of the analyzing and processing of related activities posture and motion state.

The feature of the 3rd embodiment is, the action data obtained is transferred to outside information processor by chest equipment 100.Further, in the information processor of this outside, carry out the analyzing and processing of related activities posture and motion state.

(motion supportive device)

Figure 19 is the functional block diagram of a kind of structure example representing the information processor that the motion supportive device of present embodiment adopts.

Figure 20 is the functional block diagram of a kind of structure example representing the webserver that the motion supportive device of present embodiment adopts.

At this, identical or equal label is marked for the structure identical with the above-mentioned the 1st and the 2nd embodiment, and simplifies its explanation.

The motion supportive device of the 3rd embodiment such as has chest equipment 100, information processor 300, network 400, the webserver 500 and user terminal 700 as shown in figure 18.

Wherein, structure shown in chest equipment 100 with the above-mentioned the 1st and the 2nd embodiment identically, has the function of the transmission action data obtained at the volley being kept at any time the function in memory 150 and carrying out data between chest equipment 100 and the information processor 300 of outside.

That is, chest equipment 100 does not have shown in the above-mentioned the 1st and the 2nd embodiment, carry out the exercise attitudes of associated subscriber US and the analyzing and processing of motion state according to the action data obtained at the volley function.

Information processor 300 is electronic equipments, at least utilizes radio communication or wire communication mode from chest equipment 100 or is carried out the transmission of various data by storage card etc.

Information processor 300 have as hereinafter described with linkage function and the web browser function of network 400.

Information processor 300 such as adopts notebook type or desk-top PC 301,304 or the common apparatus such as smart phone 302, tablet terminal 303 as shown in figure 18, or adopts special equipment (omitting diagram).

In addition, in the present embodiment, information processor 300 can be used as user terminal 700 described later.

Specifically, information processor 300 such as roughly has input operation part 330, computing circuit 340, memory 350, display part 360, working power 370 and interface portion 390 as shown in figure 19.

Input operation part 330 is the input units such as keyboard, mouse, touch pads, touch panel at PC 301,304 or the attached setting such as smart phone 302, tablet terminal 303.

Input operation part 330, by selecting the arbitrary icon that shows at display part 360 and menu and optional position in indicating picture to show, performs the function corresponding with this icon and menu, this position.

Computing circuit 340 is the arithmetic units with clocking capability, by processing according to the control program of regulation, controls the display action of the various information at display part 360, action in each inscape such as data transfer activity of interface portion 390.

In addition, the control program performed in computing circuit 340 can be stored in memory 350 described later, also can load computing circuit 340 in advance inner.

The action data received by interface portion 390 is kept in the storage area of regulation by memory 350 temporarily.

When information processor 300 is used as user terminal 700, the analytical information received by network 400 is kept in the storage area of regulation by memory 350, and this user terminal 700 has carried out the exercise attitudes of user US after analyzing and processing and the analysis result etc. of motion state for browsing in the webserver 500.

In addition, memory 350 have identically with wrist equipment 200 with above-mentioned chest equipment 100 its part or all as the form of movable storage medium, and be configured to plug relative to information processor 300.

Display part 360 such as has the display floater of crystal liquid mode or light-emitting component mode etc., at least shows communications status when the above-mentioned action data sent from chest equipment 100 is transferred to the webserver 500 by network 400 described later and status transmission.

When information processor 300 is used as user terminal 700, in display part (information providing unit) 360, above-mentioned action data and its analysis result are directly shown as numeric data, or the curve map of indication example as shown in Fig. 8 ~ Figure 13.

Working power 370 provides driving electric power to each inscape of information processor 300.

In the movable electronic equipment (mobile device) such as smart phone 302 and tablet terminal 303, working power 370 such as adopts the secondary cells such as lithium ion battery.

In the PC 301,304 etc. of notebook type, working power 370 adopts secondary cell or commercial ac power source.

In desk-top PC, working power 370 adopts commercial ac power source.

Interface portion 390 plays a role as interface when being received in from chest equipment 100 action data obtained in chest equipment 100.

Interface portion 390 has the linkage function with networks 400 such as internet and LAN (Local Area Network: LAN).

Network 400 can carry out the transmission of action data and analytical information and the computer network of reception between above-mentioned information processor 300 and the webserver 500.

At this, network 400 can be the network that the public such as internet can utilize, and also can be to be defined as the network that specific group such as enterprise or area, educational institution etc. can utilize.

The webserver 500 is connected with information processor 300 by above-mentioned network 400.The webserver 500 is application servers, at least there is the action data obtained at the volley according to transmitting from information processor 300, carrying out the above-mentioned exercise attitudes of associated subscriber US shown in the 1st or the 2nd embodiment and the function of the analyzing and processing of motion state.

Specifically, the webserver 500 such as roughly has input operation part 530, computing circuit (data processing division) 540, memory 550, display part 560, working power 570, interface portion 590 and database 600 as shown in figure 20.

Wherein, input operation part 530, display part 560, working power 570 have and the input operation part 330 of above-mentioned information processor 300, display part 360, function that working power 370 is identical respectively, and thus the description thereof will be omitted.

Database 600 can be built in the webserver 500, also can be placed on the webserver 500 outside, directly can also be connected with network 400.

Computing circuit 540 and memory 550 have the function identical with memory 150 with the computing circuit 140 shown in the above-mentioned the 1st and the 2nd embodiment.

Namely, computing circuit 540 is the arithmetic units with clocking capability, by carrying out processing the action controlling each inscape according to the control program of regulation, as action data with analyze data and analysis result etc. to the preservation of memory 550 and database 600 and reading operation, various information at the display action of display part 560, the data transfer activity etc. in interface portion 590.

Computing circuit 540, by processing according to the algorithm routine of regulation, according to the action data received by interface portion 590, carries out the above-mentioned exercise attitudes of associated subscriber US shown in the 1st and the 2nd embodiment and the analyzing and processing of motion state.

The analysis data generated in this analyzing and processing and analysis result are stored in the storage area of the regulation of such as database 600.

User US uses user terminal 700 access web server 500, computing circuit 540 suitably reads the analysis data corresponding with the requirement of user US and analysis result from database 600 thus, and generates for carrying out the web displaying data shown in the web browser being located at user terminal 700 with the display mode employing numerical value and curve map etc.

Further, these web displaying data are sent to user terminal 700 as analytical information by network 400.

In addition, the control program performed in computing circuit 540 and algorithm routine can be stored in memory 550, also can load computing circuit 540 in advance inner.

Memory 550 is kept at the various data used when processing according to the control program of regulation and algorithm routine in above-mentioned computing circuit 540 or the various data generated when processing according to this program temporarily.

Interface portion 590 plays a role as the interface during action data received from the transmission of above-mentioned information processor 300, or sends to interface during user terminal 700 to play a role as by the analytical information comprising the exercise attitudes of user US and the analysis result of motion state etc. after carried out analyzing and processing in the webserver 500.

User terminal 700 is the electronic equipments with the structure (with reference to Figure 19) identical with above-mentioned information processor 300.

By user US access web server 500, user terminal 700 is received in the web displaying data generated in the webserver 500 by network 400, and utilizes web browser to show.

Thus, the analysis data generated in the analyzing and processing based on the action data obtained at the volley and analysis result are shown as numeric data in display part, and are shown as the curve map such as shown in Fig. 8 ~ Figure 13.

In addition, user terminal 700 directly can adopt the information processor 300 used when transmitting action data to the webserver 500, also can adopt the electronic equipment with network connecting function different from this information processor 300.

(motion support method)

Figure 21 is the flow chart of the example representing the motion support method performed in the motion supportive device of present embodiment.

At this, omit the explanation about the step identical with the above-mentioned the 1st and the 2nd embodiment.

In the motion support method of present embodiment, as shown in the flow chart of Figure 21, first the power supply of the chest equipment 100 be arranged on health is connected and is started this equipment (step S301) by user US.

Then, user US setting in motion (step S302).

Further, to start simultaneously with this motion or after motion starts, the sensed activation of chest equipment 100 starts, collect the action data in user US motion, and be kept at (step S303) in the storage area of the regulation of memory 150.

Continue the collection carrying out this action data, until the while of terminating move with user US or just terminate the sensed activation of chest equipment 100 after terminating to move till (step S304).

Then, by the action data preserved in the memory 150 of chest equipment 100, utilize radio communication or wire communication mode or send to information processor 300 by storage card etc., then by information processor 300, this action data being transferred to the webserver 500 (step S305) by network 400.

The action data (transmission data) being transferred to the webserver 500 is stored in the storage area of the regulation of memory 550.

Then, in the webserver 500, according to the action data preserved in memory 150, computing circuit 540 performs the various analyzing and processing (step S306) that comprise period of motion extraction process, left and right action identifying processing, motion state determination processing identical with the above-mentioned the 1st or the 2nd embodiment.

Thus, analyze the feature of exercise attitudes and the change etc. of motion state of user US, the analysis data generated in this analyzing and processing and analysis result are stored in the storage area of the regulation of database 600.

Then, user US operation information treating apparatus 300 or user terminal 700, and by network 400 access web server 500.

And, by being carried out the operation that requirement (request) shows arbitrary analytical information by user US, the webserver 500 reads the analysis data and analysis result that are kept in database 600 by computing circuit 540, and generates the web displaying data with the display format of the regulation corresponding with above-mentioned requirements.

The web displaying data generated, as analytical information, via interface portion 590, are sent to information processor 300 or user terminal 700 by network 400.

Use web browser in display part 360, to be shown as numeric data by sending to the analytical information of information processor 300 or user terminal 700, or be shown as the curve map (step S307) such as shown in Fig. 8 ~ Figure 13.

At this, when showing the curve map as shown in Fig. 8 ~ Figure 13 at the display part 360 of information processor 300 or user terminal 700, also according to time data by representing the curve map of Fig. 8 and Fig. 9 of the acceleration in (1 cycle) and the feature of angular speed between short-term and representing that the curve map of Figure 10 ~ Figure 13 of tendency of change of long-standing acceleration is interrelated, the display carrying out curve map can mutually be switched thus.

As mentioned above, in the present embodiment, user US utilizes the chest equipment 100 being installed on chest to collect the action data in moving, after motion terminates, utilize information processor 300 and be transferred to the webserver 500 by network 400, in this webserver 500, performing the above-mentioned exercise attitudes of associated subscriber US and the analyzing and processing of motion state.

And, user US is by utilizing information processor 300 or user US terminal 700 access web server 500, the analysis data generated by analyzing and processing and analysis result are sent from the webserver 500 as analytical information, and is shown as numeric data or is shown as the curve map such as shown in Fig. 8 ~ Figure 13 in the display part 360 of information processor 300 or user US terminal 700.

In the present embodiment, as long as information processor 300 at least has transmit the function of action data and the function by web browser display analysis information to the webserver 500.

Therefore, even the electronic equipment that calculation processing power is lower, the memory capacity of memory is smaller, also can be used as information processor 300 well, easily can form motion supportive device of the present invention at low cost.

In the present embodiment, in the webserver 500, the exercise attitudes of associated subscriber US and the analyzing and processing of motion state is carried out.

Therefore, by upgrading the algorithm routine about such as analyzing and processing in the webserver 500 at any time, the analyzing and processing of fresh approach can be performed all the time, reliably can analyze the tendency etc. of the feature of exercise attitudes and the change of motion state.

In the present embodiment, the action data transmitted from chest equipment 100, the analysis data generated analyzing and processing and analysis result, in the memory 550 being stored in the webserver 500 or database 600.

Therefore, by suitably increasing memory capacity in memory 550 or database 600, also reliably can preserve jumbo action data and analyzing data etc., suitable analytical information can be provided to user US.

In addition, in the present embodiment, describe and utilize information processor 300 that the action data obtained by chest equipment 100 is transferred to the webserver 500 by network 400, in this webserver 500, carry out the above-mentioned exercise attitudes of associated subscriber US and the situation of the analyzing and processing of motion state.

The present invention is not limited thereto, also can be, in the information processor 300 being located at chest equipment 100 outside, carry out the above-mentioned exercise attitudes of associated subscriber US and the analyzing and processing of motion state.

In this case, information processor 300 has by processing according to the algorithm routine of regulation in computing circuit (data processing division) 340, perform the function of the analyzing and processing of related activities posture and motion state, not necessarily need that there is the linkage function with network 400.

Therefore, even if be in information processor 300 can not the environment of (or being difficult to) interconnection network 400 time, also can perform the exercise attitudes of associated subscriber US and the analyzing and processing of motion state well, and in display part 360, be analyzed data and analysis result is shown as numeric data or is shown as the curve map such as shown in Fig. 8 ~ Figure 13.

Therefore, by vision, the tendency etc. of the feature of exercise attitudes and the change of motion state can be supplied to user US, thus user US can grasp the exercise attitudes and jog mode etc. of oneself intuitively, and effectively can embody analysis result when motion from now on.

In addition, in above-mentioned each embodiment, about the sensor device that motion supportive device adopts, be illustrated for the chest equipment being installed on chest.But the present invention is not limited thereto, as long as be such as arranged on the body such as waist or neck axle or the equipment near it, then also can be the equipment with other form.

In above-mentioned each embodiment, about application motion of the present invention, be illustrated to run.But, the present invention is not limited thereto, such as, also can be applied to the various motions of taking a walk and waiting and being made up of periodicity action.

Above several embodiment of the present invention is illustrated, but the invention is not restricted to above-mentioned embodiment, comprise the scope of invention and the equalization thereof recorded in detail in the claims.

Claims

1. a motion supportive device, this motion supportive device has:

Sensor part, obtain to move in the relevant action data of the motion of health of user; And

Data processing division, identify that the described action data obtained by described sensor part is relevant to the motion of the right leg forward direction side oscillation of described user or is correlated with the motion of left leg forward direction side oscillation, and from described action data, obtain first exercise data relevant to the motion mode of the right leg forward direction side oscillation of described user and second exercise data relevant with the motion mode of left leg forward direction side oscillation.

2. motion supportive device according to claim 1,

Described sensor part obtains the acceleration information corresponding with the acceleration of the bearing of trend of the body axle of described user and the angular velocity data corresponding with the angular speed of the direction of rotation of the rotary motion along described body axle, as described action data,

Described data processing division, according in the specific value of described acceleration information of timing and the polarity of the value of described angular velocity data, identifies that described action data is relevant to the motion of described right leg forward direction side oscillation or is correlated with the motion of left leg forward direction side oscillation.

3. motion supportive device according to claim 2,

The value of described acceleration information is gone out the timing of the change of the regulation corresponding with the action that the one leg in the right leg of described user and left leg lands by described data processing division relative to time showing, be set as described specific timing.

4. motion supportive device according to claim 1,

Described data processing division is according to acquired described first exercise data and described second exercise data, obtain the exercise attitudes of described user corresponding with the motion of the right leg forward direction side oscillation of described user and the Temporal changes of motion state and the corresponding exercise attitudes of described user and the Temporal changes of motion state with the motion of the left leg forward direction side oscillation of described user

Described data processing division compares according to exercise attitudes corresponding to the motion of the right leg forward direction side oscillation with described user and the Temporal changes of motion state and the Temporal changes of the exercise attitudes corresponding with the motion of the left leg forward direction side oscillation of described user and motion state, analyzes the motion mode of the health of described user.

5. motion supportive device according to claim 1,

Described data processing division measures multiple periods of motion corresponding with the cycle of the motion of the left and right leg of described user in described action data, and the comparison of value according to the described action data of each described period of motion, detect the exercise attitudes of described user and the change of motion state.

6. motion supportive device according to claim 5,

Described data processing division carries out being the standardization processing of mutually the same time by the time adjustment separately of described multiple period of motion, and according to being corrected the comparison of value of described action data of each period of motion of time by described standardization processing, detect the change of described exercise attitudes and described motion state.

7. motion supportive device according to claim 1,

Described motion supportive device has information providing unit, is provided for the motion support information of the motion mode of the health supported in described motion to described user,

According to described action data, described data processing division judges whether the exercise attitudes of described user and motion state are in the specific state preset, and generate notification signal according to the result of described judgement,

The announcement information of the regulation based on described notification signal provides as described motion support information by described information providing unit.

8. motion supportive device according to claim 7,

Described information providing unit, by any one sensation in the vision of people, sense of touch, the sense of hearing, provides described motion support information to described user.

9. motion supportive device according to claim 7,

Described data processing division analyzes the change of described exercise attitudes and described motion state in described motion,

Described motion support information is supplied to described user by described information providing unit in described motion.

10. motion supportive device according to claim 1,

Described motion supportive device has storage part, preserves the described action data obtained by described sensor part at any time,

Described data processing division, after described motion terminates, analyzes the motion mode of the health of described user according to the described action data preserved in described storage part.

11. motion supportive devices according to claim 10,

Described sensor part and described storage part and described data processing division and described information providing unit are connected to network respectively directly or indirectly,

The described action data that described data processing division is preserved in described storage part by described network reception, and the motion mode analyzing the health of described user according to the described action data received,

Described information providing unit by the result of the described analysis of data processing division described in described network reception, and provides described motion support information according to the result of the described described analysis received to described user.

12. 1 kinds of motion support methods, this motion support method comprises the following steps:

Obtain to move in the relevant action data of the motion of health of user,

Described action data acquired by identification is relevant to the motion of the right leg forward direction side oscillation of described user or is correlated with the motion of left leg forward direction side oscillation, and from described action data, obtain first exercise data relevant to the motion mode of the right leg forward direction side oscillation of described user and second exercise data relevant with the motion mode of left leg forward direction side oscillation.

13. motion support methods according to claim 12,

Obtain the acceleration information corresponding with the acceleration of the bearing of trend of the body axle of described user and the angular velocity data corresponding with the angular speed of the direction of rotation of the rotary motion along described body axle, as described action data,

According in the specific value of described acceleration information of timing and the polarity of the value of described angular velocity data, identify that described action data is relevant to the motion of described right leg forward direction side oscillation or is correlated with the motion of left leg forward direction side oscillation.

14. motion support methods according to claim 13,

The value of described acceleration information is gone out the timing of the change of the regulation corresponding with the action that the one leg in the right leg of described user and left leg lands relative to time showing, be set as described specific timing.

15. motion support methods according to claim 12,

According to acquired described first exercise data and described second exercise data, obtain the exercise attitudes of described user corresponding with the motion of the right leg forward direction side oscillation of described user and the Temporal changes of motion state and the corresponding exercise attitudes of described user and the Temporal changes of motion state with the motion of the left leg forward direction side oscillation of described user

Comparing of the Temporal changes of the exercise attitudes corresponding according to the motion of the right leg forward direction side oscillation with described user and the Temporal changes of motion state and the exercise attitudes corresponding with the motion of the left leg forward direction side oscillation of described user and motion state, analyze the motion mode of the health of described user.