scholarly journals Mathematical Modeling and Simulation of Table Tennis Trajectory Based on Digital Video Image Processing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chuan He ◽  
Xiaoquan Zhang ◽  
Yulong Gui ◽  
Yang Liu ◽  
Wei Zhang
Keyword(s):  
Image Processing ◽  
Motion Capture ◽  
Domain Knowledge ◽  
Digital Video ◽  
Motion Capture System ◽  
Table Tennis ◽  
Sports Training ◽  
Inertial Motion ◽  
Movement Characteristics ◽  
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, 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.

Biomechanical Analysis of Two Techniques Performed in Table Tennis

2012 ◽  
Vol 182-183 ◽  
pp. 1658-1661 ◽  
Author(s):  
Bi Jian Mao
Keyword(s):  
19Th Century ◽  
Motion Capture ◽  
Biomechanical Analysis ◽  
Motion Capture System ◽  
Table Tennis ◽  
Core Technology ◽  
Ball Contact ◽  
Speed Parameter ◽  
The 19Th Century ◽  
Peak Speed

Table tennis, as one of the most popular sports in China, has grown considerably since its developed in the 19th century in England. The biomechanics of the research methods in many sports has been widely used, for understanding of sports and technology and improve sports played an important role Fast break and curving ball technology is this game’s core technology. In this study, we based on fast break and curving ball features of kinematic to reveal the table tennis forehand techniques. Eight male volunteers were participated in this tests, the speed of the racket during the playing was recorded through Vicon Motion Capture System. The action was divided into three major phases: back swing, attack and follow through. At the end of back swing stage, break and curl technologies, the speed parameter shows some differences. While the peak speed in ball contact frame, the speed of curling ball was significantly higher than the fast break. Further study could be carried out in detailing analysis at sub-stage of the action for integral considering.

scholarly journals Badminton motion capture with visual image detection of picking robotics

2020 ◽  
Vol 17 (6) ◽  
pp. 172988142096907
Author(s):  
Changxin Li
Keyword(s):  
Image Processing ◽  
Control System ◽  
Motion Capture ◽  
High Precision ◽  
Target Recognition ◽  
Vision System ◽  
Recognition Rate ◽  
Motion Capture System ◽  
Vision Control ◽  
Edge Features

In the process of strawberry easily broken fruit picking, in order to reduce the damage rate of the fruit, improves accuracy and efficiency of picking robot, field put forward a motion capture system based on international standard badminton edge feature detection and capture automation algorithm process of night picking robot badminton motion capture techniques training methods. The badminton motion capture system can analyze the game video in real time and obtain the accuracy rate of excellent badminton players and the technical characteristics of badminton motion capture through motion capture. The purpose of this article is to apply the high-precision motion capture vision control system to the design of the vision control system of the robot in the night picking process, so as to effectively improve the observation and recognition accuracy of the robot in the night picking process, so as to improve the degree of automation of the operation. This paper tests the reliability of the picking robot vision system. Taking the environment of picking at night as an example, image processing was performed on the edge features of the fruits picked by the picking robot. The results show that smooth and enhanced image processing can successfully extract edge features of fruit images. The accuracy of the target recognition rate and the positioning ability of the vision system of the picking robot were tested by the edge feature test. The results showed that the accuracy of the target recognition rate and the positioning ability of the motion edge of the vision system were far higher than 91%, satisfying the automation demand of the picking robot operation with high precision.

Validity of the Perception Neuron inertial motion capture system for upper body motion analysis

Measurement ◽  
2020 ◽  
Vol 149 ◽  
pp. 107024 ◽  
Author(s):  
Ryan Sers ◽  
Steph Forrester ◽  
Esther Moss ◽  
Stephen Ward ◽  
Jianjia Ma ◽  
...  
Keyword(s):  
Motion Analysis ◽  
Motion Capture ◽  
Body Motion ◽  
Upper Body ◽  
Motion Capture System ◽  
Inertial Motion

scholarly journals Human motion capture system in sports performance based on Internet of Things technology and wireless inertial sensor

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Wenfeng Xu
Keyword(s):  
Internet Of Things ◽  
Motion Capture ◽  
Human Motion ◽  
The Internet ◽  
Motion Capture System ◽  
Inertial Motion ◽  
External Interference ◽  
Human Motion Capture ◽  
Internet Of Things Technology ◽  
The Internet Of Things

AbstractTaking human movements has very good prospects of application in sports, animated projects, medicine and health and other areas. This article aims to study the human motion capture system in sports performances based on the Internet of Things technology and wireless inertial sensors. This article first introduces the theory and characteristics of the Internet of Things and motion capture; next, according to the different characteristics of the sensors in the inertial motion capture system, a two-step Kalman filter is proposed to process the accelerometer and the magnetometer separately and, finally, the structure of this article. The human body motion model is used to analyze the acceleration dynamic error that occurs during the motion. In addition, an inertial motion capture system is constructed to obtain and visualize the structure of each motion node. The experimental results in this paper show that the Kalman filtering algorithm can ensure the accuracy of angle estimation under different motion states and has good fault tolerance to external interference. Among them, the error of the static state is reduced by 23.1%.

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