An analysis of the application of computer-assisted instruction in the teaching of physical education yoga

In this paper, according to the TOF method in the principle of Kinect V2.0 depth measurement, the Kinect data stream can be obtained, which can realize the real-time acquisition of the user’s yoga movement data. On the basis of the extraction of joint motion features, the position of each joint poin...

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Main Author: Qian Zhi
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns.2023.2.01410
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author Qian Zhi
author_facet Qian Zhi
author_sort Qian Zhi
collection DOAJ
description In this paper, according to the TOF method in the principle of Kinect V2.0 depth measurement, the Kinect data stream can be obtained, which can realize the real-time acquisition of the user’s yoga movement data. On the basis of the extraction of joint motion features, the position of each joint point in the model under the model coordinate system is calculated sequentially using the action redirection algorithm. For the intermittent problem of keyframes in the yoga action screen of the joints, it is necessary to optimize the analysis of yoga action recognition through the action keyframe interpolation method. Starting from the demand for sports yoga teaching, we determine the design scheme of a computer-aided yoga teaching system, realize the design of a computer-aided yoga teaching system based on the system development platform and programming program, and test the performance of the computer-aided yoga teaching system by using simulation analysis. The results show that the yoga movement redirection algorithm, when matching the data information of the same movement, the distance value is 1 to 2 orders of magnitude smaller compared to the matching distance between different yoga movement sequences, and the use of the joint angle value can find out the joints where the trainer’s movement is not up to the standard, and the yoga trainer can reasonably adjust the movement based on the similarity and the joint angle value given by the system to achieve the purpose of yoga training.
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spelling doaj.art-8d56336afd154af4ac04631063dc05ff2024-01-29T08:52:42ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01410An analysis of the application of computer-assisted instruction in the teaching of physical education yogaQian Zhi01Department of Physical Education, Tongling University, Tongling, Anhui, 244061, China.In this paper, according to the TOF method in the principle of Kinect V2.0 depth measurement, the Kinect data stream can be obtained, which can realize the real-time acquisition of the user’s yoga movement data. On the basis of the extraction of joint motion features, the position of each joint point in the model under the model coordinate system is calculated sequentially using the action redirection algorithm. For the intermittent problem of keyframes in the yoga action screen of the joints, it is necessary to optimize the analysis of yoga action recognition through the action keyframe interpolation method. Starting from the demand for sports yoga teaching, we determine the design scheme of a computer-aided yoga teaching system, realize the design of a computer-aided yoga teaching system based on the system development platform and programming program, and test the performance of the computer-aided yoga teaching system by using simulation analysis. The results show that the yoga movement redirection algorithm, when matching the data information of the same movement, the distance value is 1 to 2 orders of magnitude smaller compared to the matching distance between different yoga movement sequences, and the use of the joint angle value can find out the joints where the trainer’s movement is not up to the standard, and the yoga trainer can reasonably adjust the movement based on the similarity and the joint angle value given by the system to achieve the purpose of yoga training.https://doi.org/10.2478/amns.2023.2.01410kinect data streamingredirection algorithmkeyframe interpolation methodjoint motion characterizationyoga teaching system97b60
spellingShingle Qian Zhi
An analysis of the application of computer-assisted instruction in the teaching of physical education yoga
Applied Mathematics and Nonlinear Sciences
kinect data streaming
redirection algorithm
keyframe interpolation method
joint motion characterization
yoga teaching system
97b60
title An analysis of the application of computer-assisted instruction in the teaching of physical education yoga
title_full An analysis of the application of computer-assisted instruction in the teaching of physical education yoga
title_fullStr An analysis of the application of computer-assisted instruction in the teaching of physical education yoga
title_full_unstemmed An analysis of the application of computer-assisted instruction in the teaching of physical education yoga
title_short An analysis of the application of computer-assisted instruction in the teaching of physical education yoga
title_sort analysis of the application of computer assisted instruction in the teaching of physical education yoga
topic kinect data streaming
redirection algorithm
keyframe interpolation method
joint motion characterization
yoga teaching system
97b60
url https://doi.org/10.2478/amns.2023.2.01410
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