Abstract
This study aims to explore the potential value of light imaging detection based on Internet of Things devices in the simulation application of dance sports data monitoring. In this context, the aim of this study is to use iot devices and optical imaging technology to monitor dance sport movement, and to provide a more comprehensive and accurate motion monitoring scheme through data processing and simulation analysis. We adopt the optical imaging detection technology based on Internet of Things devices to realize the real-time monitoring of dance sports. By installing optical sensors and camera devices, the technology is able to capture key movements and postures during movement and transmit the data to a monitoring system for analysis. We use deep learning algorithm to process and recognize the acquired image data, so as to realize motion detection and posture analysis. Through experiments and data analysis, we get satisfactory results. By monitoring and analyzing the optical image data during the dancesport movement, we are able to accurately capture and record the movement characteristics of athletes, providing real-time movement monitoring and feedback. We have also developed simulation applications that enable the simulation evaluation of an athlete's posture and technical level by converting optical image data into a motion model.
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Funding
This paper was supported by (1) 2023 General topic of Scientific development research of Hebei Province "Content selection, realistic dilemma and Outlook of Physical and Medical integration Training in Hebei Province" Project number: 20230205013; and (2)2023–2024 Social Science Fund Project of Hebei Province, general topic "Theory and Practice Research on Health promotion in the Era of Artificial Intelligence under the concept of Physical Medicine Integration" project number: HB23TY013.
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Jun Chen has done the first version, Xing Li, Hai Huang and Leilei Yan has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.
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Chen, J., Li, X., Huang, H. et al. Application of optical imaging detection based on IoT devices in sports dance data monitoring and simulation. Opt Quant Electron 56, 641 (2024). https://doi.org/10.1007/s11082-024-06313-x
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DOI: https://doi.org/10.1007/s11082-024-06313-x