Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing
Digital sports training based on digital video image processing promises to reduce the reliance on the experience of coaches in the table tennis training process and to achieve a more general physical education base. Based on this approach, this paper describes the specific forms of exercise content...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2021/7045445 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832563198764515328 |
|---|---|
| author | Chuan He Xiaoquan Zhang Yulong Gui Yang Liu Wei Zhang |
| author_facet | Chuan He Xiaoquan Zhang Yulong Gui Yang Liu Wei Zhang |
| author_sort | Chuan He |
| collection | DOAJ |
| description | Digital sports training based on digital video image processing promises to reduce the reliance on the experience of coaches in the table tennis training process and to achieve a more general physical education base. Based on this approach, this paper describes the specific forms of exercise content, movement characteristics, and skill levels in the table tennis framework and specifies the calculation methods of motion capture and movement characteristics suitable for table tennis. Meanwhile, to further improve the accuracy of the inertial motion capture system in restoring the position posture of the trainees, this paper improves the original inertial motion capture system from two aspects: contact judgment of both feet and correction of the position posture based on the contact position constraint. The simulation results show that the corrected human posture has good action smoothness. This paper first proposes a knowledge-based generic sports-assisted training framework based on generalizing the traditional sports training model. The framework contains four main modules: domain knowledge, trainees, sport evaluation, and controller. The domain knowledge module is a digital representation of the knowledge of the exercise content, improvement instructions, and skill indicators of the sport; the trainee module is the active response of the trainee to the exercise content and improvement instructions; the motion evaluation module uses motion capture technology to obtain the raw motion data of the trainee and further calculates the motion characteristics; the controller module proposes improvement instructions to the trainee or makes him/her practice new content based on the results of the motion evaluation. Based on the results of the motion evaluation, the controller module proposes improvement instructions or makes the trainee practice new content until the trainee achieves the desired goal. |
| format | Article |
| id | doaj-art-0a38933586774be19f791b8baa49b438 |
| institution | Kabale University |
| issn | 1687-9139 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Mathematical Physics |
| spelling | doaj-art-0a38933586774be19f791b8baa49b4382025-02-03T01:20:39ZengWileyAdvances in Mathematical Physics1687-91392021-01-01202110.1155/2021/7045445Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image ProcessingChuan He0Xiaoquan Zhang1Yulong Gui2Yang Liu3Wei Zhang4School of Kinesiology and Health PromotionSchool of Kinesiology and Health PromotionCollege of Physical EducationSchool of Kinesiology and Health PromotionSchool of Kinesiology and Health PromotionDigital sports training based on digital video image processing promises to reduce the reliance on the experience of coaches in the table tennis training process and to achieve a more general physical education base. Based on this approach, this paper describes the specific forms of exercise content, movement characteristics, and skill levels in the table tennis framework and specifies the calculation methods of motion capture and movement characteristics suitable for table tennis. Meanwhile, to further improve the accuracy of the inertial motion capture system in restoring the position posture of the trainees, this paper improves the original inertial motion capture system from two aspects: contact judgment of both feet and correction of the position posture based on the contact position constraint. The simulation results show that the corrected human posture has good action smoothness. This paper first proposes a knowledge-based generic sports-assisted training framework based on generalizing the traditional sports training model. The framework contains four main modules: domain knowledge, trainees, sport evaluation, and controller. The domain knowledge module is a digital representation of the knowledge of the exercise content, improvement instructions, and skill indicators of the sport; the trainee module is the active response of the trainee to the exercise content and improvement instructions; the motion evaluation module uses motion capture technology to obtain the raw motion data of the trainee and further calculates the motion characteristics; the controller module proposes improvement instructions to the trainee or makes him/her practice new content based on the results of the motion evaluation. Based on the results of the motion evaluation, the controller module proposes improvement instructions or makes the trainee practice new content until the trainee achieves the desired goal.http://dx.doi.org/10.1155/2021/7045445 |
| spellingShingle | Chuan He Xiaoquan Zhang Yulong Gui Yang Liu Wei Zhang Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing Advances in Mathematical Physics |
| title | Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing |
| title_full | Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing |
| title_fullStr | Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing |
| title_full_unstemmed | Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing |
| title_short | Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing |
| title_sort | mathematical modeling and simulation of table tennis trajectory based on digital video image processing |
| url | http://dx.doi.org/10.1155/2021/7045445 |
| work_keys_str_mv | AT chuanhe mathematicalmodelingandsimulationoftabletennistrajectorybasedondigitalvideoimageprocessing AT xiaoquanzhang mathematicalmodelingandsimulationoftabletennistrajectorybasedondigitalvideoimageprocessing AT yulonggui mathematicalmodelingandsimulationoftabletennistrajectorybasedondigitalvideoimageprocessing AT yangliu mathematicalmodelingandsimulationoftabletennistrajectorybasedondigitalvideoimageprocessing AT weizhang mathematicalmodelingandsimulationoftabletennistrajectorybasedondigitalvideoimageprocessing |