Design of gesture recognition mobile car based on YOLOv5

Shuo Xi; Zehua Song; Xingyu Zhu; Gongcheng Yin; Shucheng Ma

doi:10.1117/12.3005097

9 October 2023 Design of gesture recognition mobile car based on YOLOv5

Shuo Xi, Zehua Song, Xingyu Zhu, Gongcheng Yin, Shucheng Ma

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127911T (2023) https://doi.org/10.1117/12.3005097
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

In response to the less referees in non -professional basketball events, this article will design a multi -functional basketball technology station based on deep learning gesture recognition and image -based car -based cars. While tracking the referee position, the corresponding gesture can reduce the labor costs in basketball games and improve the smoothness of the game. This article uses the YOLOv5 algorithm, which can reaches more than 90%of gesture recognition. Using the OpenCV image processing module can better capture the position of the referee and make gesture recognition more accurate and fast.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shuo Xi, Zehua Song, Xingyu Zhu, Gongcheng Yin, and Shucheng Ma "Design of gesture recognition mobile car based on YOLOv5", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127911T (9 October 2023); https://doi.org/10.1117/12.3005097

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