CN109359540A - A method of sport movement is analyzed based on the multi-sensor information of terminal - Google Patents
A method of sport movement is analyzed based on the multi-sensor information of terminal Download PDFInfo
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- CN109359540A CN109359540A CN201811080894.4A CN201811080894A CN109359540A CN 109359540 A CN109359540 A CN 109359540A CN 201811080894 A CN201811080894 A CN 201811080894A CN 109359540 A CN109359540 A CN 109359540A
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a kind of methods for being acted and being analyzed to sport based on the multi-sensor information of terminal, include the following steps: the embedded equipment in the fixed belt sensor of the joint part of human body, exercise data acquisition, exercise data processing, exercise data export, exercise data analysis, exercise data simulation, the data inputting 3D model program that will be received, Dynamic Graph is acted by the sport of 3D model program skimulated motion person, simultaneously, 3D model program shows the virtual sports movement Dynamic Graph of standard operation, intuitively show sportsman's sport movement and the difference of standard operation by two groups of Dynamic Graphs.This method data are transferred to main controller by processing, integration, the sport movement of sportsman is analyzed by main controller, sport movement with standard compares, sport movement to obtain sportsman is insufficient, to which the sport movement effectively to sportsman improves, so that the standardization of sportsman's sport movement.
Description
Technical field
The present invention relates to sensor information processing technology field more particularly to a kind of multi-sensor informations pair based on terminal
Sport acts the method analyzed.
Background technique
In area of pattern recognition, the identification of human motion posture has become the hot spot of current research.It is recent years, adjoint
The fast development of the technologies such as human-computer interaction, in the various aspects such as athletics sports, rehabilitation, somatic sensation television game, human motion posture
Identification technology has obtained commonly used.Currently, the method for motion tracking is divided into according to the difference of sensing element: inertia tracking, light
Learn tracking, power and mechanical tracking, electromagnetic type tracking, acoustics tracking etc..
Inertia tracer technique, by the way that Inertial Measurement Unit is arranged in target, measurement obtains the number such as acceleration, angular speed
According to being resolved based on this using mathematical tool, obtain the motion conditions of target.The characteristics of inertia is tracked is to realize simply, is resisted
Interference is strong；The disadvantage is that the motion feature for being tracked target cannot be obtained comprehensively, can only it is limited and locally reflection be tracked
The movement characteristic of target.Optical tracking technology completes motion tracking by monitoring to specific luminous point in target and tracking
Task.Theoretically, for any one point in space, as long as it can be simultaneously seen in two video cameras, according to in a flash
The image and camera parameters of two shot by camera, it can determine the spatial position of this moment point.When video camera with
When sufficiently high rate is continuously shot, the motion profile of the point can be obtained by from image sequence.Wherein the processing of image is adopted
It is D image segmentation technology, i.e., by camera record image, dummy object is formed by digitized processing, is then led to
Three-dimensional space calibration is crossed, determines the spatial position of object.The characteristics of optical tracking technology is the movement that can comprehensively reflect object
Situation, precision are high；The disadvantage is that realizing more difficulty, and the range tracked is smaller.Therefore it is proposed that a kind of based on the more of terminal
Sensor information acts the method analyzed to sport.
Summary of the invention
The invention proposes a kind of methods for being acted and being analyzed to sport based on the multi-sensor information of terminal, to solve
The problems mentioned above in the background art.
The invention proposes a kind of method for being acted and being analyzed to sport based on the multi-sensor information of terminal, features
It is, comprising the following steps:
S1: in the embedded equipment of the fixed belt sensor of the joint part of human body, major joint position includes shoulder joint, elbow pass
Section, wrist joint, hip joint, knee joint and ankle-joint, different embedded equipments pass through evil spirit by being installed by velcro
Art patch adjustment elasticity；
S2: exercise data acquisition before movement, opens equipment, each sensor is started to work, when every index of equipment
After normal display, then automatic moving one end distance checks that device data is shown, whether observation device normally starts, sensor
Data after sports occur are acquired, and the main data that acquire include X, linear acceleration on tri- directions Y, Z and
Initial data after acquisition is integrated, is compressed, is encapsulated by angular acceleration data；
S3: the data encapsulated in S2 are transferred to microcontroller by transfer program, by what is received by exercise data processing
Data-signal is integrated, and removes interference signal, the data-signal after integration is compressed, filtered data rectangle is melted
It closes；
S4: obtained exercise data is passed to main controller, main controller by radio signal senders by exercise data export
Signal is received and is identified, main controller receives the data by being converted into physical signal by analog signal, by what is received
Data-signal imports in main controller, is received by main controller data, the signal of receiving is decompressed, after decompression
Data are decoded, decoded information interception live part, by effective data inputting graphics software；
S5: valid data are generated path curves figure by graphics software by exercise data analysis, and main controller is transferred
The normal data of storage, and path curves figure is generated, the fortune of data motion geometric locus figure and normal data will be received
Dynamic rail trace curve figure is compared, and the data motion geometric locus figure and normal data path curves figure received uses two
Kind different colours are identified, and the part to overlap meets normal sport action norm, and non-coincidence part is then non-
Specification sport movement, parse different exercise datas, the exercise data of non-standard extracted, and to unnormal number according into
Row is highlighted to be shown, the data acted by understanding non-standard, knows the limb action of sportsman and the difference of standard limb movement,
Different data are analyzed, different data are gone out by evaluation of markers, and show；
S6: exercise data simulation, the data inputting 3D model program that will be received, by 3D model program skimulated motion person's
Sport acts Dynamic Graph, meanwhile, 3D model program shows the virtual sports movement Dynamic Graph of standard operation, passes through two groups of Dynamic Graphs
Intuitively show sportsman's sport movement and the difference of standard operation, by observation Dynamic Graph, what can be more clear knows sportsman
Know oneself sport movement, understand auto- deficiency, by Dynamic Graph, sportsman is made to understand that the mistake of oneself, and
Improved in later sport movement, gradually by sport action criteria.
Preferably, the sensor uses STM32F303RC microprocessor, the space LSM303 compass, L3GD20 gyroscope
It is formed with HC05 bluetooth.
Preferably, the filtering method uses Kalman filtering mode.
Preferably, the player motion data repeat to test using multiple groups, and multiple groups repeat experimental data and are formed integral with one another, shape
At sportsman's routine sport operation curve, compared by conventional sport operation curve and standard sport movement.
Preferably, the 3D model program uses 3Dmax Procedure modeling.
A kind of method that sport movement is analyzed based on the multi-sensor information of terminal proposed by the present invention, beneficial to effect
Fruit is: this method is simple, practical, and the data that can be acted using the sport of sportsman, data are transferred to by processing, integration
Main controller analyzes the sport movement of sportsman by main controller, and the sport movement with standard compares, to obtain
The sport of sportsman acts deficiency, to effectively improve to the sport movement of sportsman, so that sportsman's sport acts
Standardization, improve the action criteria of athletes.
Specific embodiment
It is next combined with specific embodiments below that the present invention will be further described.
Embodiment 1
The invention proposes a kind of methods for being acted and being analyzed to sport based on the multi-sensor information of terminal, including such as
Lower step:
S1: in the embedded equipment of the fixed belt sensor of the joint part of human body, major joint position includes shoulder joint, elbow pass
Section, wrist joint, hip joint, knee joint and ankle-joint, different embedded equipments pass through evil spirit by being installed by velcro
Art patch adjustment elasticity；
S2: exercise data acquisition before movement, opens equipment, each sensor is started to work, when every index of equipment
After normal display, then automatic moving one end distance checks that device data is shown, whether observation device normally starts, sensor
To sports occur after data be acquired, sensor using STM32F303RC microprocessor, the space LSM303 compass,
L3GD20 gyroscope and HC05 bluetooth composition, the main data that acquire include X, and the linear acceleration and angle on tri- directions Y, Z add
Initial data after acquisition is integrated, is compressed, is encapsulated by speed data, and sportsman's data carry out multi collect, forms movement
The daily sport action movement curve of member improves the accuracy of the daily sport movement of sportsman, reduces error and generate；
S3: the data encapsulated in S2 are transferred to microcontroller by transfer program, by what is received by exercise data processing
Data-signal is integrated, and removes interference signal, the data-signal after integration is compressed, and filtering method is filtered using Kalman
Wave mode merges filtered data rectangle；
S4: exercise data export, player motion data repeat to test using multiple groups, and it is mutually whole that multiple groups repeat experimental data
It closes, forms sportsman's routine sport operation curve, compared by conventional sport operation curve and standard sport movement, will
To exercise data pass to main controller by radio signal senders, main controller is received and is identified to signal, main controller
The data by being converted into physical signal by analog signal are received, the data-signal received is imported in main controller, master is passed through
Control machine receives data, and the signal of receiving is decompressed, and is decoded to the data after decompression, and decoded information is cut
Live part is taken, by effective data inputting graphics software；
S5: valid data are generated path curves figure by graphics software by exercise data analysis, and main controller is transferred
The normal data of storage, and path curves figure is generated, the fortune of data motion geometric locus figure and normal data will be received
Dynamic rail trace curve figure is compared, and the data motion geometric locus figure and normal data path curves figure received uses two
Kind different colours are identified, and the part to overlap meets normal sport action norm, and non-coincidence part is then non-
Specification sport movement, parse different exercise datas, the exercise data of non-standard extracted, and to unnormal number according into
Row is highlighted to be shown, the data acted by understanding non-standard, knows the limb action of sportsman and the difference of standard limb movement,
Different data are analyzed, different data are gone out by evaluation of markers, and show；
S6: exercise data simulation, the data inputting 3D model program that will be received, 3D model program use 3Dmax program
Modeling acts Dynamic Graph by the sport of 3D model program skimulated motion person, meanwhile, 3D model program shows the virtual of standard operation
Sport acts Dynamic Graph, intuitively shows sportsman's sport movement and the difference of standard operation by two groups of Dynamic Graphs, sportsman is logical
Observation Dynamic Graph is crossed, what can be more clear knows that oneself sport acts, and understands auto- deficiency, by Dynamic Graph, makes
Sportsman understand that the mistake of oneself, and be improved in later sport movement, gradually by sport action criteria.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (5)
1. a kind of act the method analyzed based on the multi-sensor information of terminal to sport, which is characterized in that including following
Step:
S1: in the embedded equipment of the fixed belt sensor of the joint part of human body, major joint position include shoulder joint, elbow joint,
Wrist joint, hip joint, knee joint and ankle-joint, different embedded equipments pass through magic by being installed by velcro
Patch adjustment elasticity；
S2: exercise data acquisition before movement, opens equipment, each sensor is started to work, when every index of equipment is normal
After display, then automatic moving one end distance checks that device data is shown, whether observation device normally starts, and sensor is to body
It educates the data after movement occurs to be acquired, the main data that acquire include X, and the linear acceleration and angle on tri- directions Y, Z add
Initial data after acquisition is integrated, is compressed, is encapsulated by speed data；
S3: the data encapsulated in S2 are transferred to microcontroller by transfer program, the data that will be received by exercise data processing
Signal is integrated, and removes interference signal, the data-signal after integration is compressed, filtered data rectangle is merged；
S4: obtained exercise data is passed to main controller by radio signal senders, main controller is to letter by exercise data export
It number is received and is identified, main controller receives the data by being converted into physical signal by analog signal, the data that will be received
Signal imports in main controller, is received by main controller data, the signal of receiving is decompressed, to the data after decompression
It is decoded, decoded information interception live part, by effective data inputting graphics software；
S5: valid data are generated path curves figure by graphics software by exercise data analysis, and main controller, which is transferred, have been stored
Normal data, and generate path curves figure, the movement rail of data motion geometric locus figure and normal data will be received
Trace curve figure is compared, the data motion geometric locus figure and normal data path curves figure received using two kinds not
With being identified for color, the part to overlap meets normal sport action norm, and non-coincidence part is then non-standard
Sport movement, parses different exercise datas, the exercise data of non-standard is extracted, and high according to carrying out to unnormal number
Bright displaying, the data acted by understanding non-standard know the limb action of sportsman and the difference of standard limb movement, will not
Same data are analyzed, and different data are gone out by evaluation of markers, and show；
S6: exercise data simulation, the data inputting 3D model program that will be received, by the sport of 3D model program skimulated motion person
Dynamic Graph is acted, meanwhile, 3D model program shows the virtual sports movement Dynamic Graph of standard operation, intuitive by two groups of Dynamic Graphs
Show sportsman's sport movement and the difference of standard operation, by observation Dynamic Graph, what can be more clear knows certainly sportsman
Own sport movement, understands auto- deficiency, by Dynamic Graph, sportsman is made to understand that the mistake of oneself, and afterwards
Sport movement in improved, gradually by sport action criteria.
2. a kind of method that sport movement is analyzed based on the multi-sensor information of terminal according to claim 1,
It is characterized by: the sensor using STM32F303RC microprocessor, the space LSM303 compass, L3GD20 gyroscope and
HC05 bluetooth composition.
3. a kind of method that sport movement is analyzed based on the multi-sensor information of terminal according to claim 1,
It is characterized by: the filtering method uses Kalman filtering mode.
4. a kind of method that sport movement is analyzed based on the multi-sensor information of terminal according to claim 1,
It is characterized by: the player motion data repeat to test using multiple groups, multiple groups repeat experimental data and are formed integral with one another, and form fortune
Conventional sport operation curve is mobilized, is compared by conventional sport operation curve and standard sport movement.
5. a kind of method that sport movement is analyzed based on the multi-sensor information of terminal according to claim 1,
It is characterized by: the 3D model program uses 3Dmax Procedure modeling.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110960843A (en) * | 2019-12-23 | 2020-04-07 | 天水师范学院 | Basketball skill auxiliary training system |
| CN111145354A (en) * | 2019-12-31 | 2020-05-12 | 北京恒华伟业科技股份有限公司 | BIM data model identification method and device |
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| US20140133703A1 (en) * | 2012-11-11 | 2014-05-15 | Samsung Electronics Co. Ltd. | Video object tracking using multi-path trajectory analysis |
| CN107260181A (en) * | 2017-07-13 | 2017-10-20 | 赵诺 | Eight-section brocade trains movement locus harvester and its analysis method |
| CN107281710A (en) * | 2017-07-31 | 2017-10-24 | 尚晟 | A kind of method of remedial action error |
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| CN101655743A (en) * | 2008-08-18 | 2010-02-24 | 财团法人工业技术研究院 | Instant action identifying method and inertia sensing and track reconstructing device thereof |
| US20140133703A1 (en) * | 2012-11-11 | 2014-05-15 | Samsung Electronics Co. Ltd. | Video object tracking using multi-path trajectory analysis |
| CN107260181A (en) * | 2017-07-13 | 2017-10-20 | 赵诺 | Eight-section brocade trains movement locus harvester and its analysis method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110960843A (en) * | 2019-12-23 | 2020-04-07 | 天水师范学院 | Basketball skill auxiliary training system |
| CN111145354A (en) * | 2019-12-31 | 2020-05-12 | 北京恒华伟业科技股份有限公司 | BIM data model identification method and device |
| CN111145354B (en) * | 2019-12-31 | 2024-02-13 | 北京恒华伟业科技股份有限公司 | BIM data model identification method and device |
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