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

Abstract

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.