Design of the sport training assistant system based on local spatio-temporal features

In order to improve and strengthen the performance of the sports training assistant system, this paper designs a sports training assistant system based on the local spatio-temporal features. First, the coordinate information of human joints is obtained by using local space-time features; Then, the m...

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Bibliographic Details
Published inInternational Conference on Measuring Technology and Mechatronics Automation (Print) pp. 1198 - 1203
Main Author Long, Yao-Bo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2022
Subjects
Analytical models
Computational modeling
coordinate information
Data models
Heuristic algorithms
local spatio-temporal features
sports
Systematics
Training
training assistance
Training data
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Summary:In order to improve and strengthen the performance of the sports training assistant system, this paper designs a sports training assistant system based on the local spatio-temporal features. First, the coordinate information of human joints is obtained by using local space-time features; Then, the motion behavior is recognized by using the dynamic time warping algorithm based on the coordinate information; Finally, the matching degree between the model behavior and real-time behavior is evaluated and compared. The experimental results show that the system based on local spatiotemporal features has better recognition rate and evaluation rate, which can provide timely and effective feedback for sports evaluation.
ISSN:2157-1481
DOI:10.1109/ICMTMA54903.2022.00240