CN104898834A - Behavior state adjusting method and device - Google Patents
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- CN104898834A CN104898834A CN201510254211.2A CN201510254211A CN104898834A CN 104898834 A CN104898834 A CN 104898834A CN 201510254211 A CN201510254211 A CN 201510254211A CN 104898834 A CN104898834 A CN 104898834A
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Abstract
The invention provides a behavior state adjusting method and device. According to embodiments of the invention, by acquiring current measuring parameters of a user and determining an occupation type of the user, a behavior state index is obtained according to the current measuring parameter of the user and the occupation type of the user, so the behavior state of the user can be indicated and adjusted according to the behavior state index, and the aim of prompting to keep a correct behavior state is achieved.
Description
[technical field]
The present invention relates to the communication technology, particularly relate to a kind of method of adjustment and device of behavior state.
[background technology]
In the daily work of people and learning process, need to keep a kind of correct behavior state, could work more efficiently and learn.If deviate from correct behavior state, the reduction of work and learning efficiency may be caused, even also may affect the security of work and study.Meanwhile, the health status of health can also be affected.
Therefore, the correct behavior state of maintenance how is reminded to be a problem demanding prompt solution.
[summary of the invention]
Many aspects of the present invention provide a kind of method of adjustment and device of behavior state, in order to realize the object of reminding the behavior state keeping correct.
An aspect of of the present present invention, provides a kind of method of adjustment of behavior state, comprising:
Obtain the current measurement parameter of user;
Determine the occupation type belonging to described user;
According to the occupation type belonging to the current measurement parameter of described user and described user, obtain behavior state index;
According to described behavior state index, the behavior state of the described user of instruction adjustment.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and the current measurement parameter of described acquisition user, comprising:
Utilize sensor device, gather the current measurement parameter of described user; Wherein, described sensor device is arranged in the terminal that described user uses.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and the current measurement parameter of described acquisition user, comprising:
Utilize sensor device, gather the current measurement parameter of described user; Wherein, described sensor device is arranged in the terminal that described user uses.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and the described occupation type determined belonging to described user, comprising:
According to the log-on message of described user, determine the occupation type belonging to described user; Or
Obtain the positional information of described user place working equipment; According to the positional information of described working equipment, determine the environment belonging to described working equipment; And the environment belonging to described working equipment, determine the occupation type belonging to described user.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, the described current measurement parameter according to described user and the occupation type belonging to described user, obtains behavior state index, comprising:
According to the occupation type belonging to described user, obtain the standard measurement parameters of user under described occupation type, described standard measurement parameters comprises criterion parameter, or criterion parameter and daily schedule;
According to described standard measurement parameters and described current measurement parameter, obtain described behavior state index.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and the occupation type belonging to described user is driver; The described current measurement parameter according to described user and the occupation type belonging to described user, obtain behavior state index, comprising:
Obtain the running data of the described user place vehicles;
Occupation type belonging to the current measurement parameter of described user, described user and the running data of the described vehicles, obtain behavior state index.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, described according to described behavior state index, and the behavior state of the described user of instruction adjustment, comprising:
According to described behavior state index, perform prompting operation, to indicate the behavior state adjusting described user.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and described prompting operation, comprises at least one item in following content of operation:
Auditory tone cues operates;
Vibration prompting operates;
Text prompt operates; And
Picture cues operates.
Another aspect of the present invention, provides a kind of adjusting gear of behavior state, comprising:
Acquiring unit, for obtaining the current measurement parameter of user;
Determining unit, for determining the occupation type belonging to described user;
Processing unit, for the occupation type belonging to the current measurement parameter of described user and described user, obtains behavior state index;
Indicating member, for according to described behavior state index, indicates the behavior state of the described user of adjustment.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described acquiring unit further, specifically for
Utilize sensor device, gather the current measurement parameter of described user; Wherein, described sensor device is arranged in the terminal that described user uses.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and the current measurement parameter of the described user that described acquiring unit obtains comprises at least one item in the physiological data of described user and the kinematic parameter of described user.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described determining unit further, specifically for
According to the log-on message of described user, determine the occupation type belonging to described user; Or
Obtain the positional information of described user place working equipment; According to the positional information of described working equipment, determine the environment belonging to described working equipment; And the environment belonging to described working equipment, determine the occupation type belonging to described user.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described processing unit further, specifically for
According to the occupation type belonging to described user, obtain the standard measurement parameters of user under described occupation type, described standard measurement parameters comprises criterion parameter, or criterion parameter and daily schedule; And
According to described standard measurement parameters and described current measurement parameter, obtain described behavior state index.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and the occupation type belonging to the determined described user of described determining unit is driver; Described processing unit, specifically for
Obtain the running data of the described user place vehicles; And
Occupation type belonging to the current measurement parameter of described user, described user and the running data of the described vehicles, obtain behavior state index.
Aspect as above and arbitrary possible implementation, provide a kind of implementation, described indicating member further, specifically for
According to described behavior state index, perform prompting operation, to indicate the behavior state adjusting described user.
Aspect as above and arbitrary possible implementation, provide a kind of implementation further, and described prompting operation, comprises at least one item in following content of operation:
Auditory tone cues operates;
Vibration prompting operates;
Text prompt operates; And
Picture cues operates.
As shown from the above technical solution, the embodiment of the present invention is by obtaining the current measurement parameter of user, and the occupation type determining belonging to described user, and then the occupation type belonging to the current measurement parameter of described user and described user, obtain behavior state index, make it possible to according to described behavior state index, the behavior state of the described user of instruction adjustment, thus achieve the object of reminding the behavior state keeping correct.
In addition, adopt technical scheme provided by the invention, owing to adopting the occupation type belonging to user, obtain behavior state index, make it possible to the characteristic according to each occupation type, obtain appropriate and rational behavior state index, can avoid unnecessary the bothering of active user, effectively can improve work and the learning efficiency of user, meanwhile, further increase validity and the real-time of behavior state prompting.
In addition, adopt technical scheme provided by the invention, without the need to artificial participation, simple to operate, and also accuracy is high, thus improve efficiency and the reliability of behavior state prompting.
In addition, adopt technical scheme provided by the invention, due to the sensor device be arranged in terminal that user uses directly can be utilized, gather the current measurement parameter of described user, effectively can improve the utilization factor of terminal, also improve Consumer's Experience simultaneously.
[accompanying drawing explanation]
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The schematic flow sheet of the method for adjustment of the behavior state that Fig. 1 provides for one embodiment of the invention;
The structural representation of the adjusting gear of the behavior state that Fig. 2 provides for another embodiment of the present invention.
[embodiment]
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments whole obtained under creative work prerequisite, belong to the scope of protection of the invention.
It should be noted that, terminal involved in the embodiment of the present invention can include but not limited to mobile phone, personal digital assistant (Personal Digital Assistant, PDA), radio hand-held equipment, panel computer (Tablet Computer), PC (Personal Computer, PC), MP3 player, MP4 player, wearable device (such as, intelligent glasses, intelligent watch, Intelligent bracelet etc.) etc.
With it namely so-called wearable device is directly through, or be incorporated into the clothes of user or a kind of portable set of accessory, such as, Intelligent bracelet, intelligent watch, intelligent necklace, intelligent glasses, intelligent ring, smart mobile phone etc.Wearable device is not only a kind of hardware device, realizes powerful function especially by the technology such as software support and data interaction, and wearable device will bring very large transformation to our life, perception.
In addition, term "and/or" herein, being only a kind of incidence relation describing affiliated partner, can there are three kinds of relations in expression, and such as, A and/or B, can represent: individualism A, exists A and B simultaneously, these three kinds of situations of individualism B.In addition, character "/" herein, general expression forward-backward correlation is to the relation liking a kind of "or".
The schematic flow sheet of the method for adjustment of the behavior state that Fig. 1 provides for one embodiment of the invention, as shown in Figure 1.
101, the current measurement parameter of user is obtained.
102, the occupation type belonging to described user is determined.
103, the occupation type belonging to the current measurement parameter of described user and described user, obtains behavior state index.
104, according to described behavior state index, the behavior state of the described user of instruction adjustment.
It should be noted that, the executive agent of 101 ~ 104 partly or entirely can for being positioned at the application of local terminal, or can also for being arranged on plug-in unit or SDK (Software Development Kit) (the Software Development Kit of the application being arranged in local terminal, the functional unit such as SDK), or can also for being arranged in the processing engine of network side server, or can also for being positioned at the distributed system of network side, the present embodiment is not particularly limited this.
Be understandable that, described application can be mounted in the local program (nativeApp) in terminal, or can also be a web page program (webApp) of browser in terminal, and the present embodiment does not limit this.
Like this, by obtaining the current measurement parameter of user, and the occupation type determining belonging to described user, and then the occupation type belonging to the current measurement parameter of described user and described user, obtain behavior state index, make it possible to according to described behavior state index, the behavior state of the described user of instruction adjustment, thus achieve the object of reminding the behavior state keeping correct.
Alternatively, in one of the present embodiment possible implementation, in 101, the current measurement parameter of the described user obtained can include but not limited at least one item in the physiological data of described user and the kinematic parameter of described user, and the present embodiment is not particularly limited this.
Wherein, described physiological data can include but not limited at least one item in heartbeat parameter (i.e. heart rate), blood pressure parameter, respiration parameter and skin surface temperature, and the present embodiment is not particularly limited this.
Wherein, described exercise data can include but not limited to the movement locus of hand or arm, and the present embodiment is not particularly limited this.
Particularly, in 101, specifically can utilize sensor device, gather the current measurement parameter of described user.Wherein, described sensor device can be arranged in the terminal that described user uses.
Such as, the sensor device adopted, can be fixedly installed on wearable device, and the relative position between wearable device immobilizes.Like this, the sensing data that described sensor device exports, can the state of this wearable device of accurate description.
With it namely so-called wearable device is directly through, or be incorporated into the clothes of user or a kind of portable set of accessory, such as, Intelligent bracelet, intelligent watch, intelligent necklace, intelligent glasses, intelligent ring, smart mobile phone etc.Wearable device is not only a kind of hardware device, realizes powerful function especially by the technology such as software support and data interaction, and wearable device will bring very large transformation to our life, perception.
Like this, due to the sensor device be arranged in terminal that user uses directly can be utilized, gather the current measurement parameter of described user, effectively can improve the utilization factor of terminal, also improve Consumer's Experience simultaneously.
Particularly, can the current measurement parameter of Real-time Collection user, can also timing or periodically gather the current measurement parameter of user, the present embodiment is not particularly limited this.
In a concrete implementation procedure, specifically can utilize the biosensor such as heartbeat sensor, pre ure tra ducer, directly gather the current physiology data of described user.
In the implementation procedure that another is concrete, specifically imageing sensor can be utilized, gather the image of the local skin of user, and then obtain luminance parameter or the color parameter of at least one pixel in each image in the image that gathers, again according to luminance parameter or the color parameter of at least one pixel in described each image, obtain the current physiology data of described user such as, heartbeat parameter.
In the implementation procedure that another is concrete, specifically sensor device can be utilized, the movement locus of the wearable device that the hand of acquisition user or arm are dressed.And then, then according to the movement locus of described wearable device, the movement locus of described hand can be obtained.
In this implementation procedure, the sensor device adopted, can be fixedly installed on wearable device, and the relative position between wearable device immobilizes.Like this, the sensing data that described sensor device exports, can the state of this wearable device of accurate description.
In this implementation procedure, described sensor device can be the first sensor device of the Inertial Measurement Unit with space hypercomplex number complex functionality, specifically can utilize first sensor device, obtain the space hypercomplex number parameter of the wearable device that user dresses.
Wherein, described first sensor device is the Inertial Measurement Unit being with the hypercomplex number complex functionality that has living space, and can include but not limited at least one sensor in 3-axis acceleration sensor, three-axis gyroscope and three axle magnetometric sensors.This Inertial Measurement Unit specifically according to gathered sensing data, can carry out fusion treatment, to obtain the space hypercomplex number parameter of wearable device.Correspondingly, if when Inertial Measurement Unit only includes a kind of sensor, the sensing data of described wearable device can be 3 axle sensing datas; If when Inertial Measurement Unit comprises two kinds of sensors, the sensing data of described wearable device can be 6 axle sensing datas; If when Inertial Measurement Unit comprises three kinds of sensors, the sensing data of described wearable device can be 9 axle sensing datas, and the present embodiment is not particularly limited this.
Alternatively, described sensor device can also be the second sensor device of the Inertial Measurement Unit without space hypercomplex number complex functionality, specifically can utilize the second sensor device, obtains the sensing data of the wearable device that user dresses; And according to described sensing data, obtain described space hypercomplex number parameter.Particularly, specifically according to gathered sensing data, fusion treatment can be carried out, to obtain the space hypercomplex number parameter of wearable device.Detailed description see related content of the prior art, can repeat no more herein.
Wherein, described second sensor device is the Inertial Measurement Unit without space hypercomplex number complex functionality, can include but not limited at least one sensor in 3-axis acceleration sensor, three-axis gyroscope and three axle magnetometric sensors.Correspondingly, if when Inertial Measurement Unit only includes a kind of sensor, the sensing data of described wearable device can be 3 axle sensing datas; If when Inertial Measurement Unit comprises two kinds of sensors, the sensing data of described wearable device can be 6 axle sensing datas; If when Inertial Measurement Unit comprises three kinds of sensors, the sensing data of described wearable device can be 9 axle sensing datas, and the present embodiment is not particularly limited this.
It should be noted that, in this implementation procedure, because sensor device may be subject to surrounding environment, and the impact of displacement state, therefore, the sensing data that sensor device produces, need to carry out adjustment process, such as, calibration process and filtering process etc., can the acquisition of participating space hypercomplex number parameter, and other calculate.Like this, the reliability of sensing data can be ensured.
For example, for acceleration transducer and gyroscope, can first by wearable device horizontal positioned, then multiple sample data is got continuously, and utilize these sample data calculating mean values, this mean value is as side-play amount, and the sensing data of follow-up acquisition deducts this side-play amount as actual value.For magnetometric sensor, need to carry out horizontal alignment and slope compensation.Horizontal alignment can adopt 8 word calibration stepss; After horizontal alignment, also need to carry out slope compensation, by calibrated acceleration transducer, obtain the pitch angle of wearable device, then utilize this pitch angle to compensate.
Again for example, the detection of gyroscope to the anglec of rotation is instantaneous and is point-device, because gyrostatic measuring basis is self, there is no the object of reference outside system, the cumulative errors of integral and calculating angle can increase sharply along with time lapse, so gyroscope can only be operated in relatively short time scale.I.e. " gravity axis " acceleration transducer has system External reference thing, when without external force acceleration, accurately can export and tilt forward and back angle and the angle that tilts, and this angle does not have cumulative errors, but acceleration transducer is when three dimensions does variable motion, its output is just inaccurate.Because gesture motion relates to rectilinear motion and rotary motion, just need gyroscope and acceleration transducer to combine use, and in order to determine the actual physical direction of wearable device when moving, also need to utilize magnetometric sensor to position.Therefore, in order to obtain result of calculation such as space hypercomplex number parameter etc. more accurately, need to carry out filtering process in conjunction with three kinds of sensing datas, according to the error between estimated data and measurement data, and utilize integral feedback method and proportional feedback method, adjustment process is carried out to obtained space hypercomplex number parameter.
In this implementation procedure, specifically can utilize described sensor device, obtain the positional information of M sampling point position of described wearable device, M be more than or equal to 1 integer, and then, then according to the positional information of a described M sampling point position, the movement locus of described wearable device can be obtained.
Particularly, specifically can utilize described sensor device, obtain the space hypercomplex number parameter of described wearable device at m sampling point position, m for being more than or equal to 2, and is less than or equal to the integer of M, and then, then according to described space hypercomplex number parameter, the acceleration on assigned direction can be obtained.Then, according to the acceleration on the positional information of m-1 sampling point position, sample frequency and described assigned direction, the positional information of m sampling point position can be obtained.
Such as, can be specifically Q (q at the space hypercomplex number Parametric Representation of m sampling point position by obtained described wearable device
0, q
1, q
2, q
3)=q
0+ q
1i+q
2j+q
3k, and then, according to space hypercomplex number parameter, obtain the transformation matrix of coordinates that body axis system b (i.e. the coordinate system of wearable device) rotates to navigational coordinate system R (i.e. geographic coordinate system)
i.e. rotation matrix
Then, obtained acceleration sensing data and rotation matrix can be utilized
obtain the acceleration on assigned direction.Described assigned direction can be the direction of three coordinate axis in body axis system b.Body axis system b, generally can be defined as the right side of wearable device, right-handed system that front, upper three directions are formed, specifically axle to the right can be designated as the x-axis of terminal, axle be forward designated as the y-axis of terminal, axle be upwards designated as the z-axis of terminal.
Then, can according to the acceleration in sample frequency and described assigned direction, obtain the speed on described assigned direction, and then, then can speed on described assigned direction, displacement on the described assigned direction obtained, and according to the positional information of m-1 sampling point position and the displacement on the described assigned direction obtained, obtain the positional information of m sampling point position.Wherein, the positional information of described m-1 sampling point position, the position of the sampled point before referring to current sampling point.
The position of each sampled point, can be described by the positional information in three coordinate axis in body axis system b.The positional information of i-th sampling point position, can be expressed as (x
i, y
i, z
i), i for being more than or equal to 1, and is less than or equal to the integer of M.The positional information of initial samples point can be set to (0,0,0).
In order to reduce drift, high-pass filtering process can be carried out to the speed on obtained described assigned direction and/or displacement further.Like this, followed the tracks of the positional information of each sampling point position by the sampling continued, the movement locus of wearable device can be obtained.
After the movement locus obtaining described wearable device, the position specifically can dressed according to described wearable device, carries out adjustment process, to obtain the movement locus of described hand to the movement locus of described wearable device.
Such as, the position of dressing for described wearable device is hand or the wrist of human body, so, then can directly by the movement locus of described wearable device, as the movement locus of described hand.
Or, again such as, the position of dressing for described wearable device is certain position of the arm of human body, so, then and can according to the associated data between this position and hand of human body, such as, wire length along arm, angle etc. between the line along arm and assigned direction, obtain regulation coefficient, and utilize this regulation coefficient, adjustment process is carried out, to obtain the movement locus of described hand to the movement locus of described wearable device.
Alternatively, in one of the present embodiment possible implementation, in 102, specifically according to the log-on message of described user, the occupation type belonging to described user can be determined.Particularly, the log-on message of described user specifically directly can be read, and then, then according to occupation included in this log-on message, the occupation type belonging to described user can be determined, such as, driver, white collar etc.
Alternatively, in one of the present embodiment possible implementation, in 102, specifically can obtain described user place working equipment as, the positional information of the chair kind equipments such as office chair, desk and chair, couch, driver seat etc.; According to the positional information of described working equipment, determine the environment belonging to described working equipment, such as, school, office building, school, the vehicles etc.; And the environment belonging to described working equipment, determine the occupation type belonging to described user.
Particularly, specifically can adopt existing various location technology, obtain the positioning result of working equipment, namely the geographical location information of the position at working equipment place such as, and longitude and latitude etc., the present embodiment is not particularly limited this.Such as, GPS (Global Positioning System, GPS) technology, location technology such as Wireless Fidelity (Wireless Fidelity, WiFi) location technology or architecture technology etc.
Such as, if the positioning result of working equipment does not all change within a period of time, then can illustrate that working equipment is positioned at a fixing environment, and then then can environment belonging to this positioning result determination working equipment; If the positioning result of working equipment forms a movement locus within a period of time, then can illustrate that working equipment is positioned at the environment of a movement, and then then can determine that the environment belonging to working equipment is vehicle interior.
Further, before 102, the corresponding relation of environment and occupation type can also be set further.Particularly, specifically can feature environmentally, and working equipment feature is set, and the feature etc. of each occupation type, the corresponding relation of environment and occupation type is set.
Such as, for this environment of school, then can arrange corresponding occupation type is student.
Or, more such as, for this environment of office building, then can arrange corresponding occupation type is white collar.
Or, more such as, for this environment of vehicle interior, then can arrange corresponding occupation type is driver.
Alternatively, in one of the present embodiment possible implementation, in 103, specifically can occupation type belonging to described user, obtain the standard measurement parameters of user under described occupation type, described standard measurement parameters comprises criterion parameter, or criterion parameter and daily schedule, and then, then according to described standard measurement parameters and described current measurement parameter, described behavior state index can be obtained.
So-called criterion parameter, when referring to the behavior state that user under certain occupation type maintains the standard, the measurement parameter of this user obtained, or can also for user under certain occupation type keep the behavior state be accustomed to time, the measurement parameter of this user obtained, the present embodiment is not particularly limited this.
Due to the impact that the measurement parameter of human body usually can be subject in various degree because of the situation of change of the behavior state of its health; therefore; the standard measurement parameters that occupation type belonging to user obtains; can think that this user is in correct behavior state, a referential data of its measurement parameter.Be understandable that, this referential data can be expressed as a concrete numerical value, or can also be expressed as a numerical range and lower limit and higher limit, and generalized case is then a numerical range.
If the current measurement parameter of the user obtained is consistent with described standard measurement parameters such as, current measurement parameter is within the numerical range of referential data, then can illustrate that this user is in correct behavior state, namely the health of user is in normal condition.
If the current measurement parameter of the user obtained departs from referential data such as, current measurement parameter is outside the numerical range of referential data, then can illustrate that this user is in incorrect behavior state, namely the health of user is in abnormality.Now, then according to the current measurement parameter of described standard measurement parameters and described user, described behavior state index can be obtained.
In a concrete implementation procedure, specifically can utilize the learning model built in advance, according to the current measurement parameter of described standard measurement parameters and described user, obtain described behavior state index.
Described behavior state index, refers to the parameter of the behavior state situation of change for describing user.The degree that the current measurement parameter of the user obtained departs from referential data is larger, and the behavior state situation of change of the described user indicated by the behavior state index obtained is then larger, illustrates that the behavior state of user is badly in need of carrying out adjustment adjustment.The degree that the current measurement parameter of the user obtained departs from referential data is less, and the behavior state situation of change of the described user indicated by the behavior state index obtained is then less, illustrates that the adjustment operation of the behavior state of user can be slow a little.Such as, after user drinks, heartbeat parameter will change, thus will depart from referential data, and heartbeat parameter is larger, and the degree departing from referential data is larger, and the behavior state situation of change of the described user indicated by explanation is then larger.
Like this, Timeliness coverage user can work and the abnormal behaviour state in learning process, thus improve the real-time of discovery.
Current measurement parameter due to obtained user departs from the offset direction of referential data can be different, such as, the current measurement parameter of the user obtained may be greater than the higher limit of referential data, or, again such as, the current measurement parameter of the user obtained may be less than the lower limit of referential data, and therefore, the behavior state index obtained also needs this offset direction to embody.Such as, specifically can by the occasion of embodying different offset directions from negative value; Or, more such as, specifically different offset directions can be embodied by numerical values recited, etc.
So-called learning model, for identifying the behavior state index of user.Particularly, specifically can adopt preassigned training sample set, train, to build learning model, in order to identify the behavior state index of user.Wherein, training sample concentrates comprised training sample, can, for the known sample through mark, like this, can directly utilize these known sample to train, to build learning model, or can also a part be the known sample of passing through mark, another part is not through the unknown sample of mark, so, then can known sample be first utilized to train, to build initial learn model, then, recycling initial learn model is evaluated and tested unknown sample, to obtain recognition result, and then then can according to the recognition result of unknown sample, unknown sample is marked, to form known sample, as the known sample newly increased, utilize the known sample newly increased, and original known sample re-starts training, to build new learning model, until constructed learning model or known sample meet the cut-off condition of learning model, the quantity being more than or equal to accuracy rate threshold value or the known sample pre-set as recognition accuracy is more than or equal to the amount threshold etc. pre-set, the present embodiment is not particularly limited this.
Alternatively, in one of the present embodiment possible implementation, if the occupation type belonging to described user is driver; Correspondingly, in 103, specifically can obtain the running data of the described user place vehicles, and then, then can the running data of occupation type belonging to the current measurement parameter of described user, described user and the described vehicles, obtain behavior state index.
Wherein, the running data of the described vehicles can include but not limited at least one item in category of roads, road conditions, travel speed, running time and manipulation behavior, and the present embodiment is not particularly limited this.
So-called category of roads and road quality classification are the divisions that the use task according to highway, function and flow carry out, countries in the world road quality classification broadly similar, but its classification indicators are incomplete same.Highway is divided into highway, Class I highway, Class II highway, Class III highway, Class IV highway five grades by China.
So-called road conditions, for describing real-time road, is to block up the concept that unimpeded situation proposes for current urban traffic road.Traffic conditions in the real-time reflecting regional of real-time road energy, guides the best, the most efficiently travel route, improves the service efficiency of road and vehicle.
So, in this implementation, specifically can occupation type belonging to described user, obtain the standard measurement parameters of user under described occupation type, described standard measurement parameters comprises criterion parameter, or criterion parameter and daily schedule, and then, then according to described standard measurement parameters, described current measurement parameter and described running data, described behavior state index can be obtained.
In a concrete implementation procedure, specifically can utilize the learning model built in advance, according to described standard measurement parameters, described current measurement parameter and described running data, obtain described behavior state index.
Alternatively, in one of the present embodiment possible implementation, in 104, specifically according to described behavior state index, prompting operation can be performed, to indicate the behavior state adjusting described user.Particularly, if specifically the threshold condition pre-set can be met by described behavior state index, then perform prompting operation.
In this implementation, performed described prompting operation, can include but not limited at least one item in following content of operation:
Auditory tone cues operates;
Vibration prompting operates;
Text prompt operates; And
Picture cues operates.
Such as, " time of seat is oversize, reminds and stands up activity once, stretches a laziness and alleviates ", " please don't driving a car under the influence of alcohol " etc. is shown on the display device, to perform text prompt operation.
Or, more such as, utilize sound device to send ring, to perform auditory tone cues operation, this ring is highest auditory tone cues, to warn user: sitting posture is relaxed, listless, reminds and sits straight to keep correct sitting posture etc.
In a concrete implementation procedure, if described behavior state index is more than or equal to the index threshold pre-set, then can perform prompting operation.
In the implementation procedure that another is concrete, if described behavior state index is more than or equal to the average behavior state indices of described user, then can perform prompting operation.Wherein, the average behavior state indices of described user, refers to the mean value of whole behavior state indexes of obtained user.
It should be noted that, described instruction operation, denoted object, can be any one terminal that this user uses, such as, the wearable device that this user dresses or the mobile phone etc. that this user uses, or can also be the terminal that other users specified by this user use, such as, the mobile phone etc. that the household of this user uses, the present embodiment is not particularly limited this.
The technical scheme that the present embodiment provides, its concrete implementation procedure, according to the type of involved terminal, can adopt distinct methods, to realize the transmission of data.Use wearable device and the terminal except this wearable device as an example below by with user simultaneously.
The present embodiment specifically can utilize close range communication techniques, realizes wearable device that user dresses and the terminal except this wearable device that this user uses, between carry out data transmission.Such as, the transmission of sensing data, or, more such as, the transmission of behavior state index, etc.
Wherein, described close range communication techniques can include but not limited to Bluetooth technology, Wireless Fidelity (Wireless Fidelity, WIFI) technology, infrared technique, ZigBee technology or ultra-wideband (Ultra Wide Band, UWB) technology or near-field communication (Near Field Communication, NFC) technology, the present embodiment is not particularly limited this.
In a concrete implementation procedure, the wearable device that user dresses specifically can utilize close range communication techniques, WLAN between the terminal except this wearable device that foundation and this user use is connected, and connected by this WLAN, send described behavior state index to this terminal.By this terminal, described behavior state index is sent to application server, to make described application server according to described behavior state index, the behavior state of the described user of instruction adjustment.
In the implementation procedure that another is concrete, the wearable device that user dresses specifically can send described behavior state index by internet to application server, to make described application server according to described behavior state index, the behavior state of the described user of instruction adjustment.
Because the power consumption of wearable device accessing Internet is very high, therefore, need to utilize few time accessing Internet as far as possible to complete Internet service or utilize high efficiency accessing Internet as far as possible to complete Internet service, to reduce the power consumption of wearable device as far as possible.In addition, the power consumption of terminal accessing Internet is also very high, therefore, while the power consumption this purpose considering minimizing wearable device, also needs the impact further considering that the power consumption as far as possible reducing terminal is normally run it.
Below with existing several scene as an example, the technique effect adopting technical scheme provided by the present invention to reach will be described:
Scene one:
In the process of the driver vehicles, if the behavior state index obtained meets the threshold condition pre-set, the intelligent watch then can dressed by driver or the mobile phone used, carry out shaking or auditory tone cues, with alarm fatigue driving or drive when intoxicated.Like this, driver's steering vehicle under the incorrect behavior state such as sick, tired, to drink can be avoided, thus improve the security of driving.
Scene two:
In the process of employee in office work, if the behavior state index obtained meets the threshold condition pre-set, the intelligent watch then can dressed by employee or the mobile phone used, carry out shaking or auditory tone cues, has a rest to point out to stand up.Like this, employee can be avoided to work under the incorrect behavior states such as fatigue, thus improve efficiency and the reliability of work.
In the present embodiment, by obtaining the current measurement parameter of user, and the occupation type determining belonging to described user, and then the occupation type belonging to the current measurement parameter of described user and described user, obtain behavior state index, make it possible to according to described behavior state index, the behavior state of the described user of instruction adjustment, thus achieve the object of reminding the behavior state keeping correct.
In addition, adopt technical scheme provided by the invention, owing to adopting the occupation type belonging to user, obtain behavior state index, make it possible to the characteristic according to each occupation type, obtain appropriate and rational behavior state index, can avoid unnecessary the bothering of active user, effectively can improve work and the learning efficiency of user, meanwhile, further increase validity and the real-time of behavior state prompting.
In addition, adopt technical scheme provided by the invention, without the need to artificial participation, simple to operate, and also accuracy is high, thus improve efficiency and the reliability of behavior state prompting.
In addition, adopt technical scheme provided by the invention, due to the sensor device be arranged in terminal that user uses directly can be utilized, gather the current measurement parameter of described user, effectively can improve the utilization factor of terminal, also improve Consumer's Experience simultaneously.
It should be noted that, for aforesaid each embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, in certain embodiment, there is no the part described in detail, can see the associated description of other embodiments.
The structural representation of the adjusting gear of the behavior state that Fig. 2 provides for another embodiment of the present invention, as shown in Figure 2.The adjusting gear of the behavior state of the present embodiment can comprise acquiring unit 21, determining unit 22, processing unit 23 and indicating member 24.Acquiring unit 21, for obtaining the current measurement parameter of user; Determining unit 22, for determining the occupation type belonging to described user; Processing unit 23, for the occupation type belonging to the current measurement parameter of described user and described user, obtains behavior state index; Indicating member 24, for according to described behavior state index, indicates the behavior state of the described user of adjustment.
It should be noted that, the adjusting gear of the behavior state that the present embodiment provides partly or entirely can for being positioned at the application of local terminal, or can also for being arranged on plug-in unit or SDK (Software Development Kit) (the Software Development Kit of the application being arranged in local terminal, the functional unit such as SDK), or can also for being arranged in the processing engine of network side server, or can also for being positioned at the distributed system of network side, the present embodiment is not particularly limited this.
Be understandable that, described application can be mounted in the local program (nativeApp) in terminal, or can also be a web page program (webApp) of browser in terminal, and the present embodiment does not limit this.
Alternatively, in one of the present embodiment possible implementation, described acquiring unit 21, specifically may be used for utilizing sensor device, gathers the current measurement parameter of described user; Wherein, described sensor device is arranged in the terminal that described user uses.
Wherein, the current measurement parameter of the described user that described acquiring unit 21 obtains can include but not limited at least one item in the physiological data of described user and the kinematic parameter of described user, and the present embodiment is not particularly limited this.
Alternatively, in one of the present embodiment possible implementation, described determining unit 22, specifically may be used for the log-on message according to described user, determines the occupation type belonging to described user.
Alternatively, in one of the present embodiment possible implementation, described determining unit 22, specifically may be used for the positional information obtaining described user place working equipment; According to the positional information of described working equipment, determine the environment belonging to described working equipment; And the environment belonging to described working equipment, determine the occupation type belonging to described user.
Alternatively, in one of the present embodiment possible implementation, described processing unit 23, specifically may be used for the occupation type belonging to described user, obtain the standard measurement parameters of user under described occupation type, described standard measurement parameters comprises criterion parameter, or criterion parameter and daily schedule; And according to described standard measurement parameters and described current measurement parameter, obtain described behavior state index.
Alternatively, in one of the present embodiment possible implementation, the occupation type belonging to the determined described user of described determining unit is driver; Correspondingly, described processing unit 23, specifically may be used for the running data obtaining the described user place vehicles; And the running data of occupation type belonging to the current measurement parameter of described user, described user and the described vehicles, obtain behavior state index.
Alternatively, in one of the present embodiment possible implementation, described indicating member 24, specifically may be used for according to described behavior state index, performs prompting operation, to indicate the behavior state adjusting described user.
Particularly, described prompting operation, can include but not limited at least one item in following content of operation:
Auditory tone cues operates;
Vibration prompting operates;
Text prompt operates; And
Picture cues operates.
In the present embodiment, the current measurement parameter of user is obtained by acquiring unit, and determining unit determines the occupation type belonging to described user, and then by the occupation type of processing unit belonging to the current measurement parameter of described user and described user, obtain behavior state index, make indicating member according to described behavior state index, the behavior state of the described user of adjustment can be indicated, thus achieve the object of reminding the behavior state keeping correct.
In addition, adopt technical scheme provided by the invention, owing to adopting the occupation type belonging to user, obtain behavior state index, make it possible to the characteristic according to each occupation type, obtain appropriate and rational behavior state index, can avoid unnecessary the bothering of active user, effectively can improve work and the learning efficiency of user, meanwhile, further increase validity and the real-time of behavior state prompting.
In addition, adopt technical scheme provided by the invention, without the need to artificial participation, simple to operate, and also accuracy is high, thus improve efficiency and the reliability of behavior state prompting.
In addition, adopt technical scheme provided by the invention, due to the sensor device be arranged in terminal that user uses directly can be utilized, gather the current measurement parameter of described user, effectively can improve the utilization factor of terminal, also improve Consumer's Experience simultaneously.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that hardware also can be adopted to add SFU software functional unit realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform the part steps of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. various can be program code stored medium.
Last it is noted that above embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (16)
1. a method of adjustment for behavior state, is characterized in that, comprising:
Obtain the current measurement parameter of user;
Determine the occupation type belonging to described user;
According to the occupation type belonging to the current measurement parameter of described user and described user, obtain behavior state index;
According to described behavior state index, the behavior state of the described user of instruction adjustment.
2. method according to claim 1, is characterized in that, the current measurement parameter of described acquisition user, comprising:
Utilize sensor device, gather the current measurement parameter of described user; Wherein, described sensor device is arranged in the terminal that described user uses.
3. method according to claim 1, is characterized in that, the current measurement parameter of described user comprises at least one item in the physiological data of described user and the kinematic parameter of described user.
4. method according to claim 1, is characterized in that, the described occupation type determined belonging to described user, comprising:
According to the log-on message of described user, determine the occupation type belonging to described user; Or
Obtain the positional information of described user place working equipment; According to the positional information of described working equipment, determine the environment belonging to described working equipment; And the environment belonging to described working equipment, determine the occupation type belonging to described user.
5. method according to claim 1, is characterized in that, the described current measurement parameter according to described user and the occupation type belonging to described user, obtains behavior state index, comprising:
According to the occupation type belonging to described user, obtain the standard measurement parameters of user under described occupation type, described standard measurement parameters comprises criterion parameter, or criterion parameter and daily schedule;
According to described standard measurement parameters and described current measurement parameter, obtain described behavior state index.
6. method according to claim 1, is characterized in that, the occupation type belonging to described user is driver; The described current measurement parameter according to described user and the occupation type belonging to described user, obtain behavior state index, comprising:
Obtain the running data of the described user place vehicles;
Occupation type belonging to the current measurement parameter of described user, described user and the running data of the described vehicles, obtain behavior state index.
7. the method according to the arbitrary claim of claim 1 ~ 6, is characterized in that, described according to described behavior state index, and the behavior state of the described user of instruction adjustment, comprising:
According to described behavior state index, perform prompting operation, to indicate the behavior state adjusting described user.
8. method according to claim 7, is characterized in that, described prompting operation, comprises at least one item in following content of operation:
Auditory tone cues operates;
Vibration prompting operates;
Text prompt operates; And
Picture cues operates.
9. an adjusting gear for behavior state, is characterized in that, comprising:
Acquiring unit, for obtaining the current measurement parameter of user;
Determining unit, for determining the occupation type belonging to described user;
Processing unit, for the occupation type belonging to the current measurement parameter of described user and described user, obtains behavior state index;
Indicating member, for according to described behavior state index, indicates the behavior state of the described user of adjustment.
10. device according to claim 9, is characterized in that, described acquiring unit, specifically for
Utilize sensor device, gather the current measurement parameter of described user; Wherein, described sensor device is arranged in the terminal that described user uses.
11. devices according to claim 9, is characterized in that, the current measurement parameter of the described user that described acquiring unit obtains comprises at least one item in the physiological data of described user and the kinematic parameter of described user.
12. devices according to claim 9, is characterized in that, described determining unit, specifically for
According to the log-on message of described user, determine the occupation type belonging to described user; Or
Obtain the positional information of described user place working equipment; According to the positional information of described working equipment, determine the environment belonging to described working equipment; And the environment belonging to described working equipment, determine the occupation type belonging to described user.
13. devices according to claim 9, is characterized in that, described processing unit, specifically for
According to the occupation type belonging to described user, obtain the standard measurement parameters of user under described occupation type, described standard measurement parameters comprises criterion parameter, or criterion parameter and daily schedule; And
According to described standard measurement parameters and described current measurement parameter, obtain described behavior state index.
14. devices according to claim 9, is characterized in that, the occupation type belonging to the determined described user of described determining unit is driver; Described processing unit, specifically for
Obtain the running data of the described user place vehicles; And
Occupation type belonging to the current measurement parameter of described user, described user and the running data of the described vehicles, obtain behavior state index.
15. devices according to the arbitrary claim of claim 9 ~ 14, is characterized in that, described indicating member, specifically for
According to described behavior state index, perform prompting operation, to indicate the behavior state adjusting described user.
16. devices according to claim 15, is characterized in that, described prompting operation, comprises at least one item in following content of operation:
Auditory tone cues operates;
Vibration prompting operates;
Text prompt operates; And
Picture cues operates.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105788175A (en) * | 2016-05-12 | 2016-07-20 | 洪明 | Fatigue driving early warning bracelet for driver |
| CN106202976A (en) * | 2016-08-15 | 2016-12-07 | 宁波高科美电子技术有限公司 | A kind of learning quality and the assessment assay method of time |
| CN109843174A (en) * | 2017-01-30 | 2019-06-04 | 奥迪股份公司 | Method for running motor vehicle |
| TWI666597B (en) * | 2018-04-24 | 2019-07-21 | 和碩聯合科技股份有限公司 | Career development system and career developing method |
| CN110969050A (en) * | 2018-09-29 | 2020-04-07 | 上海小蚁科技有限公司 | Employee working state detection method and device, storage medium and terminal |
| CN111291013A (en) * | 2020-01-17 | 2020-06-16 | 深圳市商汤科技有限公司 | Behavior data processing method and device, electronic equipment and storage medium |
| WO2020168454A1 (en) * | 2019-02-18 | 2020-08-27 | 深圳市欢太科技有限公司 | Behavior recommendation method and apparatus, storage medium, and electronic device |
| CN112203250A (en) * | 2020-11-04 | 2021-01-08 | 深圳市恒必达电子科技有限公司 | Intelligent glasses control method and device for monitoring sitting posture, storage medium and system |
| CN114153159A (en) * | 2020-09-08 | 2022-03-08 | 大金工业株式会社 | Mobile body control method and device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003070093A1 (en) * | 2002-02-19 | 2003-08-28 | Volvo Technology Corporation | System and method for monitoring and managing driver attention loads |
| US20080319279A1 (en) * | 2007-06-21 | 2008-12-25 | Immersion Corporation | Haptic Health Feedback Monitoring |
| CN101491443A (en) * | 2009-03-06 | 2009-07-29 | 北京理工大学 | Relational model of driver fatigue and vehicle riding trail |
| CN104283952A (en) * | 2014-09-29 | 2015-01-14 | 百度在线网络技术（北京）有限公司 | Method and device for processing user physiological parameters |
| CN104434066A (en) * | 2014-12-05 | 2015-03-25 | 上海电机学院 | Physiologic signal monitoring system and method of driver |
| CN104586410A (en) * | 2014-12-02 | 2015-05-06 | 惠州Tcl移动通信有限公司 | Mobile terminal, wearable device and system and method for judging user state |
-
2015
- 2015-05-18 CN CN201510254211.2A patent/CN104898834A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003070093A1 (en) * | 2002-02-19 | 2003-08-28 | Volvo Technology Corporation | System and method for monitoring and managing driver attention loads |
| US20080319279A1 (en) * | 2007-06-21 | 2008-12-25 | Immersion Corporation | Haptic Health Feedback Monitoring |
| CN101491443A (en) * | 2009-03-06 | 2009-07-29 | 北京理工大学 | Relational model of driver fatigue and vehicle riding trail |
| CN104283952A (en) * | 2014-09-29 | 2015-01-14 | 百度在线网络技术（北京）有限公司 | Method and device for processing user physiological parameters |
| CN104586410A (en) * | 2014-12-02 | 2015-05-06 | 惠州Tcl移动通信有限公司 | Mobile terminal, wearable device and system and method for judging user state |
| CN104434066A (en) * | 2014-12-05 | 2015-03-25 | 上海电机学院 | Physiologic signal monitoring system and method of driver |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105788175A (en) * | 2016-05-12 | 2016-07-20 | 洪明 | Fatigue driving early warning bracelet for driver |
| CN106202976A (en) * | 2016-08-15 | 2016-12-07 | 宁波高科美电子技术有限公司 | A kind of learning quality and the assessment assay method of time |
| CN109843174A (en) * | 2017-01-30 | 2019-06-04 | 奥迪股份公司 | Method for running motor vehicle |
| CN109843174B (en) * | 2017-01-30 | 2020-07-14 | 奥迪股份公司 | Method for operating a motor vehicle |
| US10845802B2 (en) | 2017-01-30 | 2020-11-24 | Audi Ag | Method for operating a motor vehicle |
| TWI666597B (en) * | 2018-04-24 | 2019-07-21 | 和碩聯合科技股份有限公司 | Career development system and career developing method |
| CN110969050A (en) * | 2018-09-29 | 2020-04-07 | 上海小蚁科技有限公司 | Employee working state detection method and device, storage medium and terminal |
| WO2020168454A1 (en) * | 2019-02-18 | 2020-08-27 | 深圳市欢太科技有限公司 | Behavior recommendation method and apparatus, storage medium, and electronic device |
| CN111291013A (en) * | 2020-01-17 | 2020-06-16 | 深圳市商汤科技有限公司 | Behavior data processing method and device, electronic equipment and storage medium |
| CN114153159A (en) * | 2020-09-08 | 2022-03-08 | 大金工业株式会社 | Mobile body control method and device |
| CN112203250A (en) * | 2020-11-04 | 2021-01-08 | 深圳市恒必达电子科技有限公司 | Intelligent glasses control method and device for monitoring sitting posture, storage medium and system |
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