Research Article
Swimming Action Recognition and Analysis System Based on Intelligent Algorithm
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342700, author={Wenzhi Hou and Pingyang Wang and Xiumin Lv and Jiting Yang and Wei Man and Xiaoyi Zhao}, title={Swimming Action Recognition and Analysis System Based on Intelligent Algorithm}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={intelligent algorithm swimming action recognition bp neural network support vector machine genetic algorithm}, doi={10.4108/eai.17-11-2023.2342700} }- Wenzhi Hou
Pingyang Wang
Xiumin Lv
Jiting Yang
Wei Man
Xiaoyi Zhao
Year: 2024
Swimming Action Recognition and Analysis System Based on Intelligent Algorithm
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342700
Abstract
With the development of science and technology, people's demand for swimming is gradually increasing. In order to meet people's needs, an intelligent swimming analysis system came into being. The intelligent swimming analysis system mainly uses smartphones as the main research platform, combined with wireless network technology, to identify and analyze human movements, provide relevant information, and then analyze the rationality of the movements. The article introduces three aspects: the design of swimming posture recognition and analysis system, swimming movement recognition algorithm and optimization algorithm, and the implementation of intelligent swimming analysis system. This article focuses on the design of the swimming posture recognition and analysis system, and provides a detailed description of the swimming posture recognition algorithm and optimization algorithm, finally, verifies the swimming action recognition algorithm and optimization algorithm through experiments. Experimental results show that the system designed in this article can effectively recognize and analyze swimming movements, and its recognition accuracy can reach up to 97.7%.
