CN104007822A - Large database based motion recognition method and device - Google Patents
Large database based motion recognition method and device Download PDFInfo
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- CN104007822A CN104007822A CN201410240299.8A CN201410240299A CN104007822A CN 104007822 A CN104007822 A CN 104007822A CN 201410240299 A CN201410240299 A CN 201410240299A CN 104007822 A CN104007822 A CN 104007822A
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Abstract
The invention discloses a large database based motion recognition method. The large database based motion recognition method comprises step 1, establishing a database comprising multiple motion parameters; step 2, collecting motion data in the motion process of users; step 3, performing comparison on the motion data collected in the step 2 and the motion parameters in the database in the step 1 and performing analytical judgment to obtain specific motion types; step 4, outputting a result for judging the motion types. According to the large database based motion recognition method, the problem that motion types can only be manually input when the motion is monitored through the traditional wearable electronic device is fundamentally solved, the users only need to wear products comprising the technology at different positions according to the motion types based on the large database during usage, wherein the various motion types are stored in the large database, the motion types can be automatically recognized through a system according to user action detected through an acceleration sensor and an angular rate sensor, and user action data can be recorded to serve as background data for analysis application.
Description
Technical field
The present invention relates to portable electronic and dress equipment, be specifically applied to the motion recognition methods on electronics wearing equipment and based on large database concept.
Background technology
Along with people's living standard improves constantly, people to the attention degree of sport and body-building also in continuous reinforcement, increasing people finds time run, play ball, the body-building such as Yoga, does is but how many amounts of exercise best suited for oneself? do you how just can know the rear energy consuming of oneself motion? these are all related to the health of self, therefore a lot of Related products on market, have been there are, as: passometer, intelligent watch, motion bracelet etc., these products can carry out motion monitoring, this series products all exists intelligence not maybe to need to set by host computer non-productive operation the monitoring that just can carry out relative complex athletic performance in the market, dressing on electronic product by manual input motion type, but complex operation, in science and technology growing today, obviously intelligent not, therefore urgently occur that a kind of technology that can automatically identify type of sports changes this present situation.
Summary of the invention
For above-mentioned technical matters, the invention provides motion recognition methods and device thereof based on large database concept.
The technical solution used in the present invention is:
A motion recognition methods based on large database concept, comprises the following steps:
The database that S1, foundation comprise multi-motion parameter;
Exercise data in S2, collection user movement process;
S3, by kinematic parameter contrast in the exercise data collecting in S2 and S1 database, analyze judgement and draw concrete type of sports;
S4, output judge the result of type of sports.
Further, in described step S1, database is that parameter when being chosen a large amount of crowds and moved by sampling forms database or directly quotes existing motion parameter data storehouse
Further, the crowd of described kinematic parameter based on different sexes, age, body weight, height, i.e. sex, age, body weight, the height variable when judging type of sports.
Wherein, in described S2, exercise data is the 3-axis acceleration Ax of many group different time points, Ay, Az and tri-axis angular rate θ x, θ y, θ z.
Further, in described step S3, also S2 is gathered to exercise data and carry out conversion process with the data type in matching database.
Motion recognition methods of the present invention also comprises step S5, carries out man-machine self study Data Update by networking, to increase new type of sports data to database.
Concrete, in described S4, the mode of output movement types results is for showing output and/or voice output.
Another technical scheme of the present invention, it is a kind of wearing electronic installation of applying above-mentioned motion recognition methods, the type that while being used for being worn on human body, human body is moved, it is characterized in that: the data-carrier store that comprises a system processor and be connected with system processor, power module, acceleration transducer, angular rate sensor, wherein, system processor is the core processing center of dressing electronic installation, data-carrier store stores the data of multi-motion parameter, acceleration transducer, 3-axis acceleration Ax when the motion of angular rate sensor difference human body, Ay, Az and tri-axis angular rate θ x, θ y, θ z also will detect data feedback to system processor, this system processor for detect data carry out after analog to digital conversion with data-carrier store in kinematic parameter contrast, discriminatory analysis draws the corresponding type of sports of the data that detect, described power module is other each module for power supply.
Wearing electronic installation of the present invention also comprises a Wireless Networking communication module, and this Wireless Networking communication module is connected with system processor for the networking data of data-carrier store to be upgraded.
Above-mentioned wearing electronic installation also comprises the display module and/or the voice module that are connected with system processor.
The invention has the beneficial effects as follows:
The manually problem of input motion type of amount when the present invention fundamentally solves the motion of tradition wearing electronic equipment monitoring, based on the large database concept that stores various type of sports, user only need be worn on diverse location by type of sports in the time that use has the product of this technology, and the data that the user action that system can detect according to acceleration transducer and angular rate sensor is identified type of sports recording user everything are automatically to make back-end data analytical applications.
Brief description of the drawings
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described further.
Fig. 1 is the theory diagram that electronics of the present invention is dressed equipment;
Fig. 2 is the motion recognition methods process flow diagram that the present invention is based on large database concept;
Fig. 3 is acceleration transducer Data Detection illustraton of model;
Fig. 4 is angular rate sensor Data Detection illustraton of model;
Fig. 5 is also original sensor detection curve figure of software algorithm.
Embodiment
Electronics wearing equipment of the present invention refers in particular to the equipment such as passometer, intelligent watch, motion bracelet, its common characteristic is portable, do not carry in user, utilize this characteristic, these equipment just can therewith move in the time of user movement, based on this, user's amount of exercise, movement locus are just synchronizeed with checkout equipment, so that the motion detection result of checkout equipment self displacement required with user detects essence is identical.
As shown in Figure 1, for wearing electronic installation of the present invention, the data-carrier store 200, power module 300, acceleration transducer 400, angular rate sensor 500, a display module 600 and the voice module 700 that comprise a system processor 100 and be connected with system processor 100;
Wherein, system processor 100 is for dressing the core processing center of electronic installation, for the processing of data; Acceleration transducer 400, angular rate sensor 500 are respectively 3-axis acceleration sensor, gyroscope;
Data-carrier store 200 stores the data of multi-motion parameter, 3-axis acceleration Ax when acceleration transducer 400, angular rate sensor 500 difference human body motion, Ay, Az and tri-axis angular rate θ x, θ y, θ z will detect data feedback to system processor 100, this system processor 100 for detection data carry out after analog to digital conversion with data-carrier store 200 in kinematic parameter contrast, discriminatory analysis draws the corresponding type of sports of the data that detect;
Display module 600 is display driver and corresponding terminal display screen, for showing testing result and other conventional displaying contents;
Voice module 700 is the loudspeaker of voice driven circuit and voice terminal output, for voice outputs such as voice message testing result and alarms;
Described power module 300 is battery and corresponding power-supplying circuit, for other each modules provide low-voltage dc power supply input.
Because the kind of motion is varied, product is difficult to the data in data-carrier store 200 pre-stored all sports category in the time dispatching from the factory, therefore, wearing electronic installation of the present invention is provided with a Wireless Networking communication module 800, this Wireless Networking communication module 800 is connected with system processor 100 for the networking data of data-carrier store 200 to be upgraded, and can complete in time the data typing of new type of exercise.
Principle of the present invention is all made up of some action group of fixing based on every kind of motion, the action of all continuity is all made up of the monomer action of having decomposed one by one, people's their movement locus curve in the time doing same movement of different builds or height is similar, we can be according to the height of user's input, body weight, sex, age simulates a curve movement database that approaches the visual human of user's bodily form with computing machine programmed algorithm, athletic performance data results while using product according to user again removes to improve correction fantasy sport curve and has just formed a Standard User athletic performance database approaching very much with user, in the time that product uses, need only user and have motion, acceleration module on product and angular rate measurement module just can test out and convert to numerical value by acceleration moving each of user and the inspection of angular speed changing value, system is processed and to be reduced into human action curve movement according to human action monitoring recognition technology algorithm degree of will speed up and angular speed changing value and just can to draw with the curve movement database contrast of revised visual human in database the type of sports that user is current carried out again, thereby intelligence identify the motion that user is engaged in.
Shown in figure 2, be a kind of motion recognition methods based on large database concept of the present invention, comprise the following steps:
The database that S1, foundation comprise multi-motion parameter;
This database is that the parameter when being chosen a large amount of crowds and moved by sampling forms database or directly quotes existing motion parameter data storehouse, the crowd of described kinematic parameter based on different sexes, age, body weight, height, the variable that is sex, age, body weight, height when judging type of sports therefore need to be inputted sex, age, body weight, height lamp parameter to determine user's human parameters in the time of first use;
When after product power-up initializing, wireless synchronization clock date time, and acknowledging time;
Exercise data in S2, collection user movement process;
This exercise data detects respectively the 3-axis acceleration Ax of many groups different time points of coming by acceleration transducer 400, angular rate sensor 500, Ay, and Az and tri-axis angular rate θ x, θ y, θ z, is shown in Fig. 3, Fig. 4;
S3, by kinematic parameter contrast in the exercise data collecting in S2 and S1 database, analyze judgement and draw concrete type of sports; If without the dormancy of moving, type of sports judgement when this programme mainly focuses on motion;
Be analog electrical signal because S2 gathers exercise data, and the kinematic parameter of storing in database is binary data, therefore the analog-to-digital conversion process that also need carry out Monitoring Data with analog to digital converter integrated in processor in system is with the binary data type in matching database, so that be analyzed judgement under same data type;
As shown in Figure 5, in the present embodiment, many groups exercise data after changing with the time into transverse coordinate axis variable, with 3-axis acceleration Ax, Ay and tri-axis angular rate θ x, θ y, θ z is longitudinal axis variable, forms curve movement, contrasts by each group of coordinate points and the corresponding sports curvilinear coordinates in database of curve movement, when the matching degree between data is in default margin tolerance, judge that the type of sports detecting is the corresponding motion of this group coordinate data in database; Wherein acceleration A z and Ax, Ay is funtcional relationship, and software algorithm of the present invention adopts Ax, and Ay replaces the judgement of the participation type of sports of Az;
S4, output judge the result of type of sports, carry out the calculating of kinergety when just making to dress electronic equipment after the result that draws type of sports, and need not enter the such each manual input motion type of all wanting of legacy equipment, in addition, the way of output directly perceived of type of sports result is for showing output or voice output, in the time that amount of exercise or time exceed standard, can send abnormal prompt to user, as flash of light or the sound of blowing a whistle;
S5, when running into while having the new motion that there is no data in database, carry out man-machine self study Data Update by networking, to increase new type of sports data to database;
Concrete, DHM is man-machine self-studying mode three-dimensional path curve;
DAUTO is automatic identification model three-dimensional path curve, the user movement curve detecting;
When: | DHM-DAUTO| < Δ D, time judge identify successfully;
Wherein, Δ D: margin tolerance;
ΔD?=?（1/N）|
（?cosθ.k*ΔAx1.k?*ΔT1.k?2+?cosθ.k?*ΔAy1.k?*ΔT1.k?2+?cosθ.k?*ΔAz1.k?*ΔT1.k?2）-（?cosθ.k?*ΔAx2.k?*ΔT2.k?2+?cosθ.k?*ΔAy2.k?*ΔT2.k?2+?cosθ.k?*ΔAz2.k?*ΔT2.k?2）| (k=1..N)；
N: image data quantity;
Δ T: the duration of motion process;
Δ Ax, Δ Ay, Δ Az: acceleration difference;
Δ θ x, Δ θ y, Δ θ z: angular speed difference;
Application example: the motion monitoring of playing basketball
User is worn on the product that uses this technology on ankle or footwear, after user starts basketball movement, sensor can run pin/ankle, the curve movement of the actions such as jumping detects, system processor 100 user's human body data that the curve movement to this monitoring and system generate by algorithm by human action monitoring recognition technology algorithm and large database concept data do recognizer with the type of sports of judging user as playing basketball, and this all exercise datas of user are recorded and are calculated this user by human action monitoring recognition technology algorithm to have run how many steps, run how many rice, jump how many times (shooting, held ball), consume the data such as how many heats and in running take-off process, sent abnormal prompt (posture is not to the risk that sprains one's foot) etc., user has not only understood own motion state and consumption of calorie and has also known and oneself robbed ball several times, throw basket several times etc. and increased the interesting and user experience sense of the use of product.
The foregoing is only preferential embodiment of the present invention, the present invention is not limited to above-mentioned embodiment, as long as within the technical scheme that realizes the object of the invention with basic identical means all belongs to protection scope of the present invention.
Claims (10)
1. the motion recognition methods based on large database concept, is characterized in that comprising the following steps:
The database that S1, foundation comprise multi-motion parameter;
Exercise data in S2, collection user movement process;
S3, by kinematic parameter contrast in the exercise data collecting in S2 and S1 database, analyze judgement and draw concrete type of sports;
S4, output judge the result of type of sports.
2. the motion recognition methods based on large database concept according to claim 1, is characterized in that: in described step S1, database is that parameter when being chosen a large amount of crowds and moved by sampling forms database or directly quotes existing motion parameter data storehouse.
3. the motion recognition methods based on large database concept according to claim 2, is characterized in that: the crowd of described kinematic parameter based on different sexes, age, body weight, height, i.e. sex, age, body weight, the height variable when judging type of sports.
4. the motion recognition methods based on large database concept according to claim 1, is characterized in that: in described S2, exercise data is the 3-axis acceleration Ax of many group different time points, Ay, Az and tri-axis angular rate θ x, θ y, θ z.
5. the motion recognition methods based on large database concept according to claim 4, is characterized in that: in described step S3, also S2 is gathered to exercise data and carry out conversion process with the data type in matching database.
6. the motion recognition methods based on large database concept according to claim 1, is characterized in that: it also comprises step S5, carries out man-machine self study Data Update by networking, to increase new type of sports data to database.
7. the motion recognition methods based on large database concept according to claim 1, is characterized in that: in described S4, the mode of output movement types results is for showing output and/or voice output.
8. the wearing electronic installation of the above-mentioned motion recognition methods of application, the type that while being used for being worn on human body, human body is moved, it is characterized in that: the data-carrier store that comprises a system processor and be connected with system processor, power module, acceleration transducer, angular rate sensor, wherein, system processor is the core processing center of dressing electronic installation, data-carrier store stores the data of multi-motion parameter, acceleration transducer, 3-axis acceleration Ax when the motion of angular rate sensor difference human body, Ay, Az and tri-axis angular rate θ x, θ y, θ z also will detect data feedback to system processor, this system processor for detect data carry out after analog to digital conversion with data-carrier store in kinematic parameter contrast, discriminatory analysis draws the corresponding type of sports of the data that detect, described power module is other each module for power supply.
9. wearing electronic installation according to claim 8, is characterized in that: it also comprises a Wireless Networking communication module, and this Wireless Networking communication module is connected with system processor for the networking data of data-carrier store to be upgraded.
10. wearing electronic installation according to claim 8, is characterized in that: it also comprises the display module and/or the voice module that are connected with system processor.
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| CN115544777A (en) * | 2022-10-17 | 2022-12-30 | 中船智能科技(上海)有限公司 | Method and system for representing joint power-assisted compensation value |
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