CN107213619A - Sports training assessment system - Google Patents
Sports training assessment system Download PDFInfo
- Publication number
- CN107213619A CN107213619A CN201710536105.2A CN201710536105A CN107213619A CN 107213619 A CN107213619 A CN 107213619A CN 201710536105 A CN201710536105 A CN 201710536105A CN 107213619 A CN107213619 A CN 107213619A
- Authority
- CN
- China
- Prior art keywords
- module
- data
- motion
- sports training
- curve
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
Abstract
The invention discloses a kind of sports training assessment system, including motion estimate module, motion state acquisition module, data processing module, action criteria determination module, action director's suggestion output module, human-machine operation module, forecast analysis module and central processing unit.The present invention realizes the automatic judgement and guidance of athletic training action, improves training effectiveness so that action more specification, while also mitigating the workload of coach；By the collection of motion state and sportsman's vital sign state, realize real-time monitoring and the comprehensive assessment of athletes ' body situation, it is to avoid its excessive movement the occurrence of；The identification of moving target is realized during video acquisition, the operating efficiency and accuracy of whole system is improved.
Description
Technical field
The present invention relates to athletic training field, and in particular to a kind of sports training assessment system.
Background technology
Existing sports training carries out the pattern of observation guidance on the spot using coach mostly, or is entered using camera
The collection of row training video, then after training is terminated, the mode that coach carries out observation guidance is carried out, and can only largely lean on self
Know from experience and comprehension, the efficiency of training is extremely low, easily caused most people action it is lack of standardization；Entirely training simultaneously
During the health of sportsman can not realize real-time monitoring, it is easy to cause its amount of exercise excessively, and wound caused to body
Evil.
The content of the invention
To solve the above problems, the invention provides a kind of sports training assessment system, realizing athletic training and moving
The automatic judgement and guidance made, improve training effectiveness so that action more specification, while also mitigating the workload of coach；
By the collection of motion state and sportsman's vital sign state, realize the real-time monitoring of athletes ' body situation and comment comprehensively
Estimate, it is to avoid its excessive movement the occurrence of；The identification of moving target is realized during video acquisition, is improved
The operating efficiency and accuracy of whole system.
To achieve the above object, the technical scheme taken of the present invention is：
Sports training assessment system, including
Motion estimate module, for completing sport video collection, moving object detection and identification, and will be collected
Video data is sent to data processing module；
Motion state acquisition module, for gathering the motion state data of sportsman and being sent to action by big dipper module
Standard determination module, and be sent to database and stored；
Data processing module, for carrying out bone information acquisition by kinect depth transducers；Elimination lock is additionally operable to obtain
Shake and the noise jamming of bone information are obtained, and calculates the angle S03 matrix informations in rotary moving for obtaining all bones pair；
Action criteria determination module, for by the angle of the bone pair obtained by calculating S03 matrix informations in rotary moving with mark
The standard operation information recorded in quasi- action database is compared, if gap is less than some thresholding, then it is assumed that standard, otherwise
Think nonstandard；For the motion state gathered data and the standard state of motion feature in standard operation database that will be received
Data are carried out after similarity comparison, export Similarity value, less than 90% to be nonstandard；
Action director advises output module, for carrying out instruction according to the assessment result of action criteria determination module
Output, and the instruction of output is stored in corresponding database, corresponding training is sent to by short message editing module
The mobile terminal of person；
Human-machine operation module, for User logs in, inputs various control commands and data to be stored；
Forecast analysis module, the data for being collected according to motion state acquisition module carry out the assessment of motion conditions
And the assessment of user's vital sign, and assessment result is sent to display screen shown；
Central processing unit, for coordinating above-mentioned module work, the various controls life for receiving man-machine operation module input
Order, and it is sent to designated module according to default algorithm；It is additionally operable to user's registration, rights management and password modification.
Preferably, the motion state acquisition module includes being provided with the inside of wrist band, ankle band and waistband, wrist band
Temperature sensor, pulse transducer, outside are provided with miniature pedometer；It is mounted on adding in wrist band, ankle band and waistband
Velocity sensor, gyroscope and magnetometer.
Preferably, the motion estimate module uses ARM embeded processors, and built in video target motion detection is drawn
Hold up, MDU realizes high performance motion detection and video identification based on hardware；Linux softwares complete the configuration to MDU, and distribution is deposited
Space is stored up, motion detection is dispatched, specified after detection range, hardware is automatically performed image motion target detection, automatically updates background,
Output campaign area information.
Preferably, the intelligent accelerating engine IVE modules of the ARM embeded processors built-in image analysis, for realizing figure
It is hardware-accelerated as intellectual analysis, as the image template filtering needed for hardware completes target identification, expansion, burn into rim detection,
The function such as binaryzation and statistics with histogram, greatly improves the motion estimate ability of ARM embeded processors.
Preferably, the forecast analysis module includes
Graphic plotting module, for drawing various curve maps according to the Monitoring Data；
Comparative analysis module, will draw curve and is analyzed and predicts with former measured curve, output analysis prediction knot
Really；
Computing module is returned, for carrying out recurrence calculating to the curve drawn by different functions.
Preferably, the graphic plotting module is generated and imitated with the space-time of time, spatial variations according to the Monitoring Data of input
Answer curve i.e. tense curve and three-dimensional effect curve, tense curve shows that the initial data of each monitoring point changes with time feelings
Condition, the monitoring result that three-dimensional effect curve highlights same time different measuring points is whipped the change of wrist strap, ankle band and waistband
Rule.
Preferably, in addition to a data sharing module, for wirelessly realizing the shared of data in database.
Preferably, in addition to two display screens, one of display screen is used for the broadcasting for being monitored data, is additionally operable to show
The data of display are needed in the various data and whole monitoring process of machine operation module of leting others have a look at input, and based on the number detected
Two-dimensional result figure, the three-dimensional result figure of amount of exercise situation are characterized according to output；Another display screen is used to carry out motion estimate
Recognition result, the judged result of action criteria determination module and the action director of module advise the guide data of output module
Display.
Preferably, in addition to a holographic projection system, system, some groups of 3D projecting apparatus and material number are generated by air screen
Constituted according to storehouse, the control command for being sent according to central processing unit calls corresponding data to set up various out of materials database
Motion model.
The invention has the advantages that：
Realize the automatic judgement and guidance of athletic training action so that action more specification；Pass through motion state and fortune
The collection of vital sign state is mobilized, real-time monitoring and the comprehensive assessment of athletes ' body situation is realized, it is to avoid its motion
The occurrence of excessive；The identification of moving target is realized during video acquisition, the work of whole system is improved
Efficiency and accuracy, is trained video in the form of being delivered during later stage explanation using holography or instructs broadcasting for video
Put, greatly facilitate trainer for each viewing and emulating repeatedly of acting and understand, training effectiveness is improved, while also mitigating religion
Experienced workload.
Brief description of the drawings
Fig. 1 is a kind of system block diagram of sports training assessment system of the embodiment of the present invention.
Embodiment
In order that objects and advantages of the present invention are more clearly understood, the present invention is carried out with reference to embodiments further
Describe in detail.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to limit this hair
It is bright.
As shown in figure 1, the embodiments of the invention provide a kind of sports training assessment system, including
Motion estimate module, for completing sport video collection, moving object detection and identification, and will be collected
Video data is sent to data processing module；Using ARM embeded processors, built in video target motion detection engine, MDU bases
High performance motion detection and video identification are realized in hardware；Linux softwares complete the configuration to MDU, distribute memory space, adjust
Motion detection is spent, is specified after detection range, hardware is automatically performed image motion target detection, automatically updates background, output campaign
Area information, the intelligent accelerating engine IVE modules of the ARM embeded processors built-in image analysis, for realizing image intelligent
That analyzes is hardware-accelerated, as the image template filtering needed for hardware completes target identification, expansion, burn into rim detection, binaryzation
And the function such as statistics with histogram, greatly improve the motion estimate ability of ARM embeded processors；
Motion state acquisition module, for gathering the motion state data of sportsman and being sent to action by big dipper module
Standard determination module, and be sent to database and stored；The motion state acquisition module include wrist band, ankle band and
Temperature sensor, pulse transducer are installed on the inside of waistband, wrist band, outside is provided with miniature pedometer；Wrist band, ankle band
And acceleration transducer, gyroscope and magnetometer are mounted in waistband；
Data processing module, for carrying out bone information acquisition by kinect depth transducers；Elimination lock is additionally operable to obtain
Shake and the noise jamming of bone information are obtained, and calculates the angle S03 matrix informations in rotary moving for obtaining all bones pair；
Action criteria determination module, for by the angle of the bone pair obtained by calculating S03 matrix informations in rotary moving with mark
The standard operation information recorded in quasi- action database is compared, if gap is less than some thresholding, then it is assumed that standard, otherwise
Think nonstandard；For the motion state gathered data and the standard state of motion feature in standard operation database that will be received
Data are carried out after similarity comparison, export Similarity value, less than 90% to be nonstandard；
Action director advises output module, for carrying out instruction according to the assessment result of action criteria determination module
Output, and the instruction of output is stored in corresponding database, corresponding training is sent to by short message editing module
The mobile terminal of person；
Human-machine operation module, for User logs in, inputs various control commands and data to be stored；The human-machine operation
Module includes picture input module, voice input module and word input module；The voice input module uses microphone, text
Word input module uses handwriting pad and keyboard, and the picture input module is imported using scanner, camera or USB interface.
Forecast analysis module, the data for being collected according to motion state acquisition module carry out the assessment of motion conditions
And the assessment of user's vital sign, and assessment result is sent to display screen shown；The forecast analysis module includes
Graphic plotting module, for drawing various curve maps according to the Monitoring Data；, the graphic plotting module according to
The Monitoring Data of input, generation is tense curve and three-dimensional effect curve, tense with the tau-effect curve of time, spatial variations
Curve shows that the initial data of each monitoring point changes with time situation, and three-dimensional effect curve highlights same time difference and surveyed
The monitoring result of point is whipped the changing rule of wrist strap, ankle band and waistband.
Comparative analysis module, will draw curve and is analyzed and predicts with former measured curve, output analysis prediction knot
Really；
Computing module is returned, for carrying out recurrence calculating to the curve drawn by different functions.
Data sharing module, for wirelessly realizing the shared of data in database；
Two display screens, one of display screen is used for the broadcasting for being monitored data, is additionally operable to show human-machine operation mould
The data of display are needed in the various data and whole monitoring process of block input, and fortune is characterized based on the data output detected
Two-dimensional result figure, the three-dimensional result figure of momentum situation；Another display screen is used for the identification knot for carrying out motion estimate module
Really, the display of the judged result of action criteria determination module and the guide data of action director's suggestion output module.
Holographic projection system, generates system, some groups of 3D projecting apparatus and materials database by air screen and constitutes, for root
The control command sent according to central processing unit calls corresponding data to set up various motion models out of materials database；
Central processing unit, for coordinating above-mentioned module work, the various controls life for receiving man-machine operation module input
Order, and it is sent to designated module according to default algorithm；It is additionally operable to user's registration, rights management and password modification.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (9)
1. sports training assessment system, it is characterised in that including
Motion estimate module, for completing sport video collection, moving object detection and identification, and by the video collected
Data are sent to data processing module；
Motion state acquisition module, for gathering the motion state data of sportsman and being sent to action criteria by big dipper module
Determination module, and be sent to database and stored；
Data processing module, for carrying out bone information acquisition by kinect depth transducers；It is additionally operable to eliminate lock acquisition bone
The shake of bone information and noise jamming, and calculate the angle S03 matrix informations in rotary moving for obtaining all bones pair；
Action criteria determination module, for the angle of the bone pair obtained by calculating S03 matrix informations in rotary moving to be moved with standard
The standard operation information for making to record in database is compared, if gap is less than some thresholding, then it is assumed that standard, otherwise it is assumed that
It is nonstandard；For the motion state gathered data and the standard state of motion characteristic in standard operation database that will be received
Carry out after similarity comparison, export Similarity value, less than 90% to be nonstandard；
Action director advises output module, for carrying out the defeated of instruction according to the assessment result of action criteria determination module
Go out, and the instruction of output is stored in corresponding database, corresponding trainer is sent to by short message editing module
Mobile terminal；
Human-machine operation module, for User logs in, inputs various control commands and data to be stored；
Forecast analysis module, the data for being collected according to motion state acquisition module carry out motion conditions assessment and
The assessment of user's vital sign, and assessment result is sent to display screen shown；
Central processing unit, for coordinating above-mentioned module work, the various control commands for receiving man-machine operation module input, and
Designated module is sent to according to default algorithm；It is additionally operable to user's registration, rights management and password modification.
2. a kind of sports training assessment system according to claim 1, it is characterised in that the motion state collection
Module includes being provided with temperature sensor, pulse transducer on the inside of wrist band, ankle band and waistband, wrist band, and outside is installed
There is miniature pedometer；Acceleration transducer, gyroscope and magnetometer are mounted in wrist band, ankle band and waistband.
3. a kind of sports training assessment system according to claim 1, it is characterised in that the motion estimate
Module uses ARM embeded processors, and built in video target motion detection engine, MDU realizes high performance motion based on hardware
Detection and video identification；Linux softwares complete the configuration to MDU, distribute memory space, dispatch motion detection, specify detection model
After enclosing, hardware is automatically performed image motion target detection, automatically updates background, output campaign area information.
4. a kind of sports training assessment system according to claim 3, it is characterised in that the embedded places of ARM
The intelligent accelerating engine IVE modules of device built-in image analysis are managed, for realizing the hardware-accelerated of image intelligent analysis, are completed by hardware
Image template filtering, expansion, burn into rim detection, binaryzation and statistics with histogram needed for target identification.
5. a kind of sports training assessment system according to claim 1, it is characterised in that the forecast analysis module
Including
Graphic plotting module, for drawing various curve maps according to the Monitoring Data；
Comparative analysis module, will draw curve and is analyzed and predicts with former measured curve, output analysis predicts the outcome；
Computing module is returned, for carrying out recurrence calculating to the curve drawn by different functions.
6. a kind of sports training assessment system as claimed in claim 5, it is characterised in that the graphic plotting module root
According to the Monitoring Data of input, generation is tense curve and three-dimensional effect curve with the tau-effect curve of time, spatial variations, when
State curve shows that the initial data of each monitoring point changes with time situation, and it is different that three-dimensional effect curve highlights the same time
The monitoring result of measuring point is whipped the changing rule of wrist strap, ankle band and waistband.
7. a kind of sports training assessment system as claimed in claim 1, it is characterised in that also including a data sharing mould
Block, for wirelessly realizing the shared of data in database.
8. a kind of sports training assessment system as claimed in claim 1, it is characterised in that also including two display screens,
One of display screen is used to be monitored the broadcastings of data, be additionally operable to show the input of human-machine operation module various data and
The data of display are needed in whole monitoring process, and based on the two-dimensional result of the data output sign amount of exercise situation detected
Figure, three-dimensional result figure；Another display screen is used for recognition result, the action criteria determination module for carrying out motion estimate module
Judged result and action director suggestion output module guide data display.
9. a kind of sports training assessment system as claimed in claim 1, it is characterised in that also including a line holographic projections system
System, generates system, some groups of 3D projecting apparatus and materials database by air screen and constitutes, for what is sent according to central processing unit
Control command calls corresponding data to set up various motion models out of materials database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710536105.2A CN107213619A (en) | 2017-07-04 | 2017-07-04 | Sports training assessment system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710536105.2A CN107213619A (en) | 2017-07-04 | 2017-07-04 | Sports training assessment system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107213619A true CN107213619A (en) | 2017-09-29 |
Family
ID=59951745
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710536105.2A Pending CN107213619A (en) | 2017-07-04 | 2017-07-04 | Sports training assessment system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107213619A (en) |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108346456A (en) * | 2018-01-23 | 2018-07-31 | 曲阜师范大学 | A kind of intelligence sport body building management system |
| CN108434698A (en) * | 2018-03-05 | 2018-08-24 | 西安财经学院 | A kind of sport balls movement tutoring system |
| CN108721870A (en) * | 2018-01-23 | 2018-11-02 | 吉林大学 | A kind of training evaluation method based on virtual environment |
| CN108853946A (en) * | 2018-07-10 | 2018-11-23 | 燕山大学 | A kind of exercise guide training system and method based on Kinect |
| CN108939480A (en) * | 2018-07-20 | 2018-12-07 | 九江学院 | A kind of table tennis intelligent training system |
| CN109192267A (en) * | 2018-08-09 | 2019-01-11 | 深圳狗尾草智能科技有限公司 | Virtual robot is accompanied in movement |
| CN109635925A (en) * | 2018-11-30 | 2019-04-16 | 北京首钢自动化信息技术有限公司 | A kind of sportsman's supplemental training data capture method, device and electronic equipment |
| CN109847308A (en) * | 2019-02-14 | 2019-06-07 | 山西大同大学 | A kind of athletic training system based on big data |
| CN109875581A (en) * | 2019-03-08 | 2019-06-14 | 商洛学院 | A kind of psychology vocational ability evaluation system |
| WO2019114708A1 (en) * | 2017-12-11 | 2019-06-20 | 丁贤根 | Motion data monitoring method and system |
| CN109919999A (en) * | 2019-01-31 | 2019-06-21 | 深兰科技（上海）有限公司 | A kind of method and device of target position detection |
| CN110170159A (en) * | 2019-06-27 | 2019-08-27 | 郭庆龙 | A kind of human health's action movement monitoring system |
| CN110718280A (en) * | 2019-09-26 | 2020-01-21 | 北京金山安全软件有限公司 | Fitness action accuracy determining method and device, electronic equipment and storage medium |
| CN111539245A (en) * | 2020-02-17 | 2020-08-14 | 吉林大学 | CPR (CPR) technology training evaluation method based on virtual environment |
| CN111888748A (en) * | 2020-08-06 | 2020-11-06 | 陇东学院 | Digital physical education teaching auxiliary platform |
| CN113457105A (en) * | 2020-03-30 | 2021-10-01 | 乔山健身器材（上海）有限公司 | Intelligent mirror with body-building menu |
| CN113476808A (en) * | 2021-07-09 | 2021-10-08 | 烟台工程职业技术学院(烟台市技师学院) | Intelligent physical exercise data measuring method and device |
| CN113797518A (en) * | 2021-09-30 | 2021-12-17 | 天津工业大学 | Athlete selecting and pulling method and system |
| CN114404904A (en) * | 2022-02-16 | 2022-04-29 | 中航创世机器人(西安)有限公司 | Training guidance and feedback method, system and equipment |
| CN114558313A (en) * | 2022-03-11 | 2022-05-31 | 北京踏行天际科技发展有限公司 | Motion recognition and scoring method for strength training instrument |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014149178A (en) * | 2013-01-31 | 2014-08-21 | Casio Comput Co Ltd | Running state detection device and program |
| JP2015058238A (en) * | 2013-09-20 | 2015-03-30 | カシオ計算機株式会社 | Exercise supporting device, exercise supporting method, and exercise supporting program |
| CN105245834A (en) * | 2015-09-21 | 2016-01-13 | 四川理工学院 | Interactive induction control device for coloured lamps |
| CN105380613A (en) * | 2015-11-13 | 2016-03-09 | 西京学院 | Sports activity monitoring system |
| CN105999682A (en) * | 2016-06-14 | 2016-10-12 | 郑州华信学院 | Sports training monitoring system |
| CN106205061A (en) * | 2016-08-31 | 2016-12-07 | 西安科技大学 | A kind of geological hazards prediction system |
| CN106178476A (en) * | 2016-08-13 | 2016-12-07 | 泉州医学高等专科学校 | A kind of numeral volleyball training system |
| CN106267734A (en) * | 2016-08-30 | 2017-01-04 | 石家庄铁路职业技术学院 | A kind of digitized body-building system |
| CN106850551A (en) * | 2016-12-12 | 2017-06-13 | 长春理工大学 | Network security risk evaluation and Autonomous Defense system |
-
2017
- 2017-07-04 CN CN201710536105.2A patent/CN107213619A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014149178A (en) * | 2013-01-31 | 2014-08-21 | Casio Comput Co Ltd | Running state detection device and program |
| JP2015058238A (en) * | 2013-09-20 | 2015-03-30 | カシオ計算機株式会社 | Exercise supporting device, exercise supporting method, and exercise supporting program |
| CN105245834A (en) * | 2015-09-21 | 2016-01-13 | 四川理工学院 | Interactive induction control device for coloured lamps |
| CN105380613A (en) * | 2015-11-13 | 2016-03-09 | 西京学院 | Sports activity monitoring system |
| CN105999682A (en) * | 2016-06-14 | 2016-10-12 | 郑州华信学院 | Sports training monitoring system |
| CN106178476A (en) * | 2016-08-13 | 2016-12-07 | 泉州医学高等专科学校 | A kind of numeral volleyball training system |
| CN106267734A (en) * | 2016-08-30 | 2017-01-04 | 石家庄铁路职业技术学院 | A kind of digitized body-building system |
| CN106205061A (en) * | 2016-08-31 | 2016-12-07 | 西安科技大学 | A kind of geological hazards prediction system |
| CN106850551A (en) * | 2016-12-12 | 2017-06-13 | 长春理工大学 | Network security risk evaluation and Autonomous Defense system |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019114708A1 (en) * | 2017-12-11 | 2019-06-20 | 丁贤根 | Motion data monitoring method and system |
| CN108721870A (en) * | 2018-01-23 | 2018-11-02 | 吉林大学 | A kind of training evaluation method based on virtual environment |
| CN108721870B (en) * | 2018-01-23 | 2023-05-26 | 吉林大学 | Exercise training evaluation method based on virtual environment |
| CN108346456A (en) * | 2018-01-23 | 2018-07-31 | 曲阜师范大学 | A kind of intelligence sport body building management system |
| CN108434698A (en) * | 2018-03-05 | 2018-08-24 | 西安财经学院 | A kind of sport balls movement tutoring system |
| CN108853946A (en) * | 2018-07-10 | 2018-11-23 | 燕山大学 | A kind of exercise guide training system and method based on Kinect |
| CN108939480A (en) * | 2018-07-20 | 2018-12-07 | 九江学院 | A kind of table tennis intelligent training system |
| CN109192267A (en) * | 2018-08-09 | 2019-01-11 | 深圳狗尾草智能科技有限公司 | Virtual robot is accompanied in movement |
| CN109635925A (en) * | 2018-11-30 | 2019-04-16 | 北京首钢自动化信息技术有限公司 | A kind of sportsman's supplemental training data capture method, device and electronic equipment |
| CN109919999A (en) * | 2019-01-31 | 2019-06-21 | 深兰科技（上海）有限公司 | A kind of method and device of target position detection |
| CN109919999B (en) * | 2019-01-31 | 2021-06-11 | 深兰科技（上海）有限公司 | Target position detection method and device |
| CN109847308A (en) * | 2019-02-14 | 2019-06-07 | 山西大同大学 | A kind of athletic training system based on big data |
| CN109875581A (en) * | 2019-03-08 | 2019-06-14 | 商洛学院 | A kind of psychology vocational ability evaluation system |
| CN110170159A (en) * | 2019-06-27 | 2019-08-27 | 郭庆龙 | A kind of human health's action movement monitoring system |
| CN110718280A (en) * | 2019-09-26 | 2020-01-21 | 北京金山安全软件有限公司 | Fitness action accuracy determining method and device, electronic equipment and storage medium |
| CN111539245A (en) * | 2020-02-17 | 2020-08-14 | 吉林大学 | CPR (CPR) technology training evaluation method based on virtual environment |
| CN113457105A (en) * | 2020-03-30 | 2021-10-01 | 乔山健身器材（上海）有限公司 | Intelligent mirror with body-building menu |
| CN113457105B (en) * | 2020-03-30 | 2022-09-13 | 乔山健身器材（上海）有限公司 | Intelligent mirror with body-building menu |
| CN111888748A (en) * | 2020-08-06 | 2020-11-06 | 陇东学院 | Digital physical education teaching auxiliary platform |
| CN113476808A (en) * | 2021-07-09 | 2021-10-08 | 烟台工程职业技术学院(烟台市技师学院) | Intelligent physical exercise data measuring method and device |
| CN113797518A (en) * | 2021-09-30 | 2021-12-17 | 天津工业大学 | Athlete selecting and pulling method and system |
| CN114404904A (en) * | 2022-02-16 | 2022-04-29 | 中航创世机器人(西安)有限公司 | Training guidance and feedback method, system and equipment |
| CN114558313A (en) * | 2022-03-11 | 2022-05-31 | 北京踏行天际科技发展有限公司 | Motion recognition and scoring method for strength training instrument |
| CN114558313B (en) * | 2022-03-11 | 2023-08-08 | 北京踏行天际科技发展有限公司 | Action recognition and scoring method for strength training instrument |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107213619A (en) | Sports training assessment system | |
| CN105999682B (en) | A kind of athletic training monitoring system | |
| US10748376B2 (en) | Real-time game tracking with a mobile device using artificial intelligence | |
| US11045705B2 (en) | Methods and systems for 3D ball trajectory reconstruction | |
| WO2020233464A1 (en) | Model training method and apparatus, storage medium, and device | |
| KR102182607B1 (en) | How to determine hand-off for virtual controllers | |
| CN106778477B (en) | Tennis racket action recognition method and device | |
| CN108939480A (en) | A kind of table tennis intelligent training system | |
| CN107918765A (en) | A kind of Moving target detection and tracing system and its method | |
| CN109091869A (en) | Method of controlling operation, device, computer equipment and the storage medium of virtual objects | |
| JP5527423B2 (en) | Image processing system, image processing method, and storage medium storing image processing program | |
| CN108346456A (en) | A kind of intelligence sport body building management system | |
| CN102222342A (en) | Tracking method of human body motions and identification method thereof | |
| US11819734B2 (en) | Video-based motion counting and analysis systems and methods for virtual fitness application | |
| US20220277463A1 (en) | Tracking dynamics using a computerized device | |
| KR20150038877A (en) | User interfacing apparatus and method using an event corresponding a user input | |
| CN106377892A (en) | Method and system for dart motion identification and training based on wearable equipment | |
| EP3088058A1 (en) | Analysis device, recording medium, and analysis method | |
| KR20160059844A (en) | Method for training using movement trajectory analysis and apparatus therefor | |
| US11902677B2 (en) | Patch tracking image sensor | |
| CN106924957A (en) | A kind of athletic training amount of exercise monitoring system | |
| KR20200042143A (en) | Dancing room service system and method thereof | |
| CN108434698B (en) | Sports ball game teaching system | |
| CN109831817A (en) | Terminal control method, device, terminal and storage medium | |
| CN106774849A (en) | virtual reality device control method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170929 |