Open Access Paper
11 September 2023 Research on functional architecture of sports application system based on AI technology
Zhiqiang Min
Author Affiliations +
Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791H (2023) https://doi.org/10.1117/12.2689454
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
In the field of sports analysis, combining sports action recognition with sports events and analyzing the athletes' sports situation in the video can provide athletes with auxiliary training, find their strengths and weaknesses, optimize the training system and promote their growth. Aiming at the low accuracy of sports video action recognition method, this paper applies the Deep Learning (DL) technology in Artificial Intelligence (AI) to sports action recognition, constructs the functional architecture of sports application system, and conducts comparative experiments on standard sports video action data sets to verify the feasibility and effectiveness of the proposed algorithm from the recognition accuracy and response time respectively. The test results show that the proposed method is superior to the traditional motion recognition model in accuracy and efficiency.
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Zhiqiang Min "Research on functional architecture of sports application system based on AI technology", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791H (11 September 2023); https://doi.org/10.1117/12.2689454
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KEYWORDS
Action recognition

Education and training

Video

Feature extraction

RGB color model

Data modeling

Motion models

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