力量训练优化过程中基于无线物联网设备的人工智能算法和光学成像检测研究

Manman Shi, Lingxiang Guan
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引用次数: 0

摘要

随着无线物联网设备的发展,光成像检测与人工智能算法相结合,为力量训练的优化提供了新的可能。无线传感器网络的应用使数据采集和实时监测更加高效便捷。本研究利用无线传感器网络采集力量训练过程中的运动数据,并通过光学成像技术实时监测运动员的动态姿势。通过将收集到的数据输入深度学习算法,分析运动员的训练表现,识别潜在风险,并提出个性化训练建议。实验在多个训练场景中进行,并与传统的力量训练监测方法进行了比较。实验结果表明,基于无线物联网的光成像检测技术能够准确识别运动中的姿态偏差,实时反馈,显著提高运动员的训练效果和安全性。在力量训练优化过程中,算法能有效分析数据,改进训练方案,证明了基于无线物联网设备的人工智能算法结合光成像检测技术在力量训练优化过程中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Research on Artificial Intelligence Algorithm and Optical Imaging Detection Based on Wireless IoT Devices in the Optimization Process of Strength Training

Research on Artificial Intelligence Algorithm and Optical Imaging Detection Based on Wireless IoT Devices in the Optimization Process of Strength Training

With the development of wireless iot devices, light imaging detection combined with artificial intelligence algorithms provides new possibilities for the optimization of strength training. The application of wireless sensor network makes data acquisition and real-time monitoring more efficient and convenient. In this study, a wireless sensor network was used to collect motion data during strength training, and the dynamic posture of athletes was monitored in real time by optical imaging technology. By feeding the collected data into a deep learning algorithm, the athlete's training performance is analyzed, potential risks are identified and personalized training recommendations are made. The experiment was carried out in multiple training scenarios and compared with traditional strength training monitoring methods. The experimental results show that the light imaging detection technology based on wireless Internet of Things can accurately identify the attitude deviation in motion, provide real-time feedback, and significantly improve the training effect and safety of athletes. In the process of strength training optimization, the algorithm can effectively analyze the data and improve the training scheme, which proves the effectiveness of artificial intelligence algorithm based on wireless Internet of Things devices combined with optical imaging detection technology in the process of strength training optimization.

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