CN103727954A - Pedometer - Google Patents
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- CN103727954A CN103727954A CN201310734601.0A CN201310734601A CN103727954A CN 103727954 A CN103727954 A CN 103727954A CN 201310734601 A CN201310734601 A CN 201310734601A CN 103727954 A CN103727954 A CN 103727954A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
- G01C22/006—Pedometers
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Abstract
The invention provides a pedometer which aims to overcome the defects of low stability and high cost since the internal judgment process of the existing pedometer capable of distinguishing running from walking is complex. The pedometer comprises a three-dimensional accelerometer and a computing unit, wherein the computing unit is used for acquiring acceleration change information in three directions according to acceleration information acquired by the three-dimensional accelerometer, and distinguishing a running state from a walking state according to the acceleration information and acceleration change information. The pedometer can quickly distinguish the running step counting state from the walking step counting state according to the acceleration and acceleration change state, and can also effectively remove interference of jumping, kicking and other motions, so that the distinguishing effect is more accurate.
Description
Technical field
The present invention relates to a kind of electronic health care watch-dog, relate in particular to a kind of passometer.
Background technology
People in daily life, carry out comings and goings, in active procedure, for different crowds, corresponding different amounts of exercise, carry out health control.The mankind's physical exertion, especially in planned body building, walks, runs and walk to run the walking movement such as alternate and occupy vital position, and walking and running is both very general physical exertions good for health.The speed of walking movement is carried out to Real-Time Monitoring and management, is the basic premise that instructs body-building by scientific methods, maintains absorption-consumed energy balance.Equally, in athletic training, for making athletic training effect reach best, also need its speed to measure.
In prior art, application number is that the Chinese invention patent application of CN200780007017 discloses a kind of human motion checkout equipment, wherein vertical component extraction element (2) is from from extracting vertical component the three-dimensional accelerometer component of acceleration corresponding with human motion user 1 (1), and this vertical component is separated into high band component and low frequency band component by high band/low band separative element (3).Utilize these components, peak detects/determines the peak position candidate of user action in processing unit (4) detection of vertical direction, energy ratio identification peak position candidate based between high band component and low frequency band component, thereby execution is determined peak position about comprising the Waveform Matching of each peak position candidate's preset range, and based on the motion of peak position human body, step position analysis unit (5) human body pace of movement.Therefore, under the state of impact that is not subject to various types of noise, accurately user's human motion in detection of vertical direction, and can accurately detect on demand user's human motion step.But said apparatus internal judgment process is complicated, cause poor stability, and cost is higher.
Summary of the invention
Goal of the invention of the present invention is to provide a kind of step count set, to reach the object of distinguishing walking and running.
The technical solution used in the present invention is as follows: a kind of passometer, comprise three-dimensional accelerometer, also comprise computing unit, the acceleration information in all directions that shown in described computing unit basis, three-dimensional accelerometer obtains obtains the acceleration change information in these three directions, and according to described acceleration information and acceleration change information, distinguish running state and walk line state.
Further, this passometer also comprises analog/digital converter, and described analog/digital converter is connected with described three-dimensional accelerometer 1, and the signal that three-dimensional accelerometer 1 is produced converts digital signal to, and exports to described computing unit.
Further, described computing unit comprises the noise reduction module of the noise component in filtering acceleration value.
Further, described computing unit comprises the first interval study and detecting unit, and second interval study and detecting unit, described the first interval study and detecting unit be used for collecting according to three-dimensional accelerometer in front and back, left and right and the study of acceleration information in vertical three directions and store this user respectively running state with walk the acceleration condition under line state, described the second interval study and record cell are used for according to three-dimensional accelerometer in front and back, left and right and the study of acceleration information in vertical three directions and store this user respectively running state with walk the acceleration change state under line state.
Further, described acceleration condition comprise this user running state with walk under line state, in all around and acceleration rate threshold in vertical three directions, described acceleration change state comprise this user running state with walk under line state, in the threshold value of all around and acceleration change value in vertical three directions.
Further, described computing unit also comprises correcting unit, and described correcting unit is for proofreading and correct the threshold value of described acceleration rate threshold and described acceleration change value.
Further, described correcting unit comprises manual correction unit and automatic calibration unit, and above-mentioned each threshold value, for the repeatedly training to this passometer according to user, is proofreaied and correct in described automatic calibration unit; Described manual correction unit for according to user, manually set the pattern of walking or running and under this pattern, make the first interval study and detecting unit or the study of the second interval and detecting unit learn and record described in each threshold value.
Further, this passometer also comprises Tip element, for running and walk that step number under line state records respectively and to the prompting of user's sound and/or light form.
Beneficial effect of the present invention is as follows:
The present invention is according to acceleration and acceleration change state, not only can distinguish rapidly the meter step state of running and walking, but also can effectively reject jumpings, the interference of moving such as plays, and makes to distinguish effect more accurate.
Accompanying drawing explanation
Fig. 1 is the structural representation of passometer of the present invention.
Embodiment
Below in conjunction with specific embodiment, technical scheme of the present invention is described in detail.
According to one embodiment of present invention, passometer 100 comprises three-dimensional accelerometer 1.Described three-dimensional accelerometer 1 obtains all directions acceleration.If the acceleration of three directions is respectively ax, ay, az, three-dimensional accelerometer 1 senses after the acceleration of above-mentioned three directions, produces three signals corresponding with above-mentioned accekeration.Signal is carried out, after analog digital conversion, can obtaining the acceleration value of all directions.
Wherein, the sample frequency that analog digital is changed can be 100Hz, and precision can be 8 or 16.Certainly, higher sample frequency and precision will obtain more accurate result.
In another embodiment, also can not carry out analog digital conversion and directly adopt the three-dimensional accelerometer 1 with numeral output.
Owing to using three-dimensional accelerometer 1, can place arbitrarily three-dimensional accelerometer 1, and not need three-dimensional accelerometer 1 to fix on some directions.
In the present invention, passometer 100 also comprises computing unit 3, and the acceleration information in all directions that shown in described computing unit 3 bases, three-dimensional accelerometer 1 obtains obtains the acceleration change information in these three directions.If the acceleration of three directions is respectively ax, ay, az, the acceleration change information in these three directions is respectively Dax, Day and Daz, and their acquisition obtains by ax, ay and az are got respectively to calculus of differences.
In one embodiment, can be by calculating at S1 ax1, ay1 constantly and az1 and at constantly next of S1 ax2, ay2 and the az2 of S2 constantly, utilize following calculating formula Dax=(ax2-ax1)/(S2-S1), Day=(ay2-ay1)/(S2-S1) and Daz=(az2-az1)/(S2-S1) calculating Dax, Day and Daz.
Then, computing unit 3 is according to ax, ay, az, and Dax, Day and Daz distinguish running state and walk line state: when the value that is all greater than first threshold V1 and Daz/az when the value of Dax/ax, Day/ay is less than Second Threshold V2, judge that current user's state is for running; When the value that is all less than the 3rd threshold value V3 and Daz/az when the value of Dax/ax, Day/ay is less than the 4th threshold value V4, judge that current user's state is for walking.
Described computing unit 3 comprises the noise reduction module 4 of the noise component in filtering acceleration value.Noise reduction module 4, for the noise component of filtering acceleration value, in the present embodiment, adopts obviously excessive or too small acceleration amplitude data of median filter (Median-likeFilter) filtering.
Described computing unit 3 comprises the first interval study and detecting unit 5, and the study of the second interval and detecting unit 6.Described the first interval study and detecting unit 5 and the study of the second interval and detecting unit 6 all within it portion there is storage unit, for storing information through learning to obtain and learning experience before.Described the first interval study and detecting unit 5 are for learning with acceleration ax, ay, az in vertical three directions in all around of collecting according to three-dimensional accelerometer 1 and store this user respectively at running state with walk the acceleration condition under line state, obtain a plurality of first threshold V1 and Second Threshold V2, wherein, first threshold V1 is the average of the sampled value (through three-dimensional accelerometer 1 sampling) of ax and ay, the sampled value that Second Threshold V2 is az (through three-dimensional accelerometer 1 sampling).Described the second interval study and record cell are for learning with acceleration ax, ay, az in vertical three directions in all around according to three-dimensional accelerometer 1 and storing this user respectively at running state with walk acceleration change state Dax, Day and the Daz under line state.Wherein, the 3rd threshold value V3 for the value (for example calculating by above-mentioned difference method) at Dax and the Day of current time respectively with the average of the difference of the value of upper one Dax constantly and Day, the value that the 4th threshold value V4 is Daz (for example calculating by above-mentioned difference method).In the present invention, described " constantly " refers generally to 1s or 10s.
Through the study in a stage, above-mentioned two study of computing unit 3 and detecting unit just can store a large amount of users in acceleration rate threshold and the acceleration change threshold value of running and walking under two states.These data are used as dictionary, are kept at the first interval study and detecting unit 5 and the study of the second interval and detecting unit 6 storage unit (for example ROM) separately.In a preferred embodiment, above-mentioned dictionary is preset in the first interval study and detecting unit 5 and the study of the second interval and detecting unit 6 before described passometer 1 dispatches from the factory.
In a preferred embodiment, described acceleration condition comprise this user running state with walk under line state, at all around and acceleration rate threshold V1x, V1y, V1z, V2x, V2y and V2z in vertical three directions, described acceleration change state comprise this user running state with walk under line state, at threshold value V3x, V3y, V3z, V4x, V4y and the V4z of all around and acceleration change value in vertical three directions.The acquisition of these threshold values is the further refinements according to above-described embodiment, respectively study walk with under two states of running at all around and acceleration condition and acceleration change state in vertical three kinds of directions, the obtaining directly by each acceleration and acceleration change value are averaged and obtained respectively of each threshold value.Such object is can be more accurately and obtain meticulously above-mentioned each threshold value, and the state that judgement is walked or run more accurately according to this.
Described computing unit also comprises correcting unit 7, and described correcting unit 7 is for proofreading and correct the threshold value of described acceleration rate threshold and described acceleration change value.In a preferred embodiment, the reference value adopting in trimming process is the mean value of acceleration rate threshold and acceleration change threshold value in dictionary.This correction comprises two kinds of patterns: manual mode and automated manner, respectively included manual correction unit 8 and the automatic calibration unit 9 of corresponding correcting unit 7.
When opening automatic calibration pattern, described automatic calibration unit 9 is for the repeatedly training to this passometer 100 according to user, and connecting inner dictionary data, proofreaies and correct above-mentioned each threshold value by the average of Dictionary of Computing data and training data as reference value.
When opening manual correction pattern, described manual correction unit 8 for according to user, manually set the pattern of walking or running and under this pattern, make the first interval study and detecting unit 5 or the study of the second interval and detecting unit 6 learn and record described in each threshold value.
According to preferred embodiment of the present invention, passometer 1 also comprises Tip element 10, and this Tip element 10 is for running and walk that step number under line state records respectively and to the prompting of user's sound and/or light form.For example, by the current meter step of hummer and/or Vib. prompting user state, there is change: from running state variation to walking line state (otherwise or).This prompting mode can also adopt the mode of LED display or pilot lamp to realize.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (8)
1. a passometer, comprise: three-dimensional accelerometer, it is characterized in that, also comprise computing unit, the acceleration information in all directions that shown in described computing unit basis, three-dimensional accelerometer obtains obtains the acceleration change information in these three directions, and according to described acceleration information and acceleration change information, distinguish running state and walk line state.
2. passometer according to claim 1, it is characterized in that, also comprise analog/digital converter, described analog/digital converter is connected with described three-dimensional accelerometer 1, the signal that three-dimensional accelerometer 1 is produced converts digital signal to, and exports to described computing unit.
3. passometer according to claim 1, is characterized in that, described computing unit comprises the noise reduction module of the noise component in filtering acceleration value.
4. according to the passometer one of claim 1-3 Suo Shu, it is characterized in that, described computing unit comprises the first interval study and detecting unit, and second interval study and detecting unit, described the first interval study and detecting unit be used for collecting according to three-dimensional accelerometer in front and back, left and right and the study of acceleration information in vertical three directions and store this user respectively running state with walk the acceleration condition under line state, described the second interval study and record cell are used for according to three-dimensional accelerometer in front and back, left and right and the study of acceleration information in vertical three directions and store this user respectively running state with walk the acceleration change state under line state.
5. passometer according to claim 4, it is characterized in that, described acceleration condition comprise this user running state with walk under line state, in all around and acceleration rate threshold in vertical three directions, described acceleration change state comprise this user running state with walk under line state, in the threshold value of all around and acceleration change value in vertical three directions.
6. passometer according to claim 5, is characterized in that, described computing unit also comprises correcting unit, and described correcting unit is for proofreading and correct the threshold value of described acceleration rate threshold and described acceleration change value.
7. passometer according to claim 6, is characterized in that, described correcting unit comprises manual correction unit and automatic calibration unit, and above-mentioned each threshold value, for the repeatedly training to this passometer according to user, is proofreaied and correct in described automatic calibration unit; Described manual correction unit for according to user, manually set the pattern of walking or running and under this pattern, make the first interval study and detecting unit or the study of the second interval and detecting unit learn and record described in each threshold value.
8. passometer according to claim 7, is characterized in that, also comprises Tip element, for running and walk that step number under line state records respectively and to the prompting of user's sound and/or light form.
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CN104075730A (en) * | 2014-07-02 | 2014-10-01 | 电子科技大学 | Gait counting method and gait counter |
CN104596537A (en) * | 2015-02-02 | 2015-05-06 | 成都星炫科技有限公司 | Step calculation method |
CN105496416A (en) * | 2015-12-28 | 2016-04-20 | 歌尔声学股份有限公司 | Human motion state recognition method and device |
CN105912142A (en) * | 2016-02-05 | 2016-08-31 | 深圳市爱康伟达智能医疗科技有限公司 | Step recording and behavior identification method based on acceleration sensor |
CN106030246A (en) * | 2014-12-03 | 2016-10-12 | 皇家飞利浦有限公司 | Device, method and system for counting the number of cycles of a periodic movement of a subject |
CN107970590A (en) * | 2016-10-25 | 2018-05-01 | 四川理工学院 | A kind of running body-building data system and method based on Android platform |
CN107970574A (en) * | 2016-10-25 | 2018-05-01 | 四川理工学院 | A kind of running body-building system and its data processing method based on Android platform |
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CN104075730A (en) * | 2014-07-02 | 2014-10-01 | 电子科技大学 | Gait counting method and gait counter |
CN104075730B (en) * | 2014-07-02 | 2017-02-01 | 电子科技大学 | Gait counting method and gait counter |
CN106030246A (en) * | 2014-12-03 | 2016-10-12 | 皇家飞利浦有限公司 | Device, method and system for counting the number of cycles of a periodic movement of a subject |
CN106030246B (en) * | 2014-12-03 | 2018-06-12 | 皇家飞利浦有限公司 | The equipment that is counted for the number of cycles of the cycle movement to object, method and system |
CN104596537B (en) * | 2015-02-02 | 2017-12-29 | 林联华 | A kind of step-recording method |
CN104596537A (en) * | 2015-02-02 | 2015-05-06 | 成都星炫科技有限公司 | Step calculation method |
CN105496416A (en) * | 2015-12-28 | 2016-04-20 | 歌尔声学股份有限公司 | Human motion state recognition method and device |
CN105912142A (en) * | 2016-02-05 | 2016-08-31 | 深圳市爱康伟达智能医疗科技有限公司 | Step recording and behavior identification method based on acceleration sensor |
CN105912142B (en) * | 2016-02-05 | 2019-06-11 | 深圳市爱康伟达智能医疗科技有限公司 | A kind of note step and Activity recognition method based on acceleration sensor |
CN107970590A (en) * | 2016-10-25 | 2018-05-01 | 四川理工学院 | A kind of running body-building data system and method based on Android platform |
CN107970574A (en) * | 2016-10-25 | 2018-05-01 | 四川理工学院 | A kind of running body-building system and its data processing method based on Android platform |
CN107970574B (en) * | 2016-10-25 | 2019-05-14 | 四川理工学院 | A kind of running body-building system and its data processing method based on Android platform |
CN107970590B (en) * | 2016-10-25 | 2019-05-21 | 四川理工学院 | A kind of running body-building data system and method based on Android platform |
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