Abstract
In the sports field auxiliary recognition system, the light motion capture device monitors the activity on the sports field in real time by sensing the body position and movement track of the exercisers. However, the current light motion capture device has some problems, such as not high precision, large delay, and so on, which need to be further improved. The aim of this research is to develop a light motion capture device based on Android intelligent platform, and apply it to the sports field auxiliary recognition system. It is hoped that the device can realize accurate recognition and real-time position tracking of sports players, and improve the performance and reliability of the auxiliary recognition system of sports field. In this paper, an optical motion capture device is designed and developed based on the Android intelligent platform. The device uses the camera to sense the movement of the mover, and extracts the key point information of the mover through image processing and algorithm analysis, so as to realize the accurate recognition and tracking of its position and movement trajectory. The experimental results show that the light motion capture device developed in this study has achieved good results in the field identification system. The device has high accuracy and low delay, and can accurately identify and track the body position and movement trajectory of the movement.
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Xu, J. Application of optical motion capture device based on android intelligent platform in sports field auxiliary recognition system. Opt Quant Electron 56, 296 (2024). https://doi.org/10.1007/s11082-023-05878-3
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DOI: https://doi.org/10.1007/s11082-023-05878-3