Spiking speed is an important indicator of volleyball players' offensive ability, and the weakness of arm muscle strength may affect the performance of spiking. Traditional EMG equipment is difficult to meet the training needs of elite athletes due to the lag in data analysis. In this study, we used an “AI muscle patch” to collect EMG signals of volleyball players' arms during analyzed the weak links of individual muscles through an AI model, identified the weak chains of muscles that affect the speed of spiking, and formulated a personalized training program to strengthen the muscles to improve the spiking speed. The study aims to verify the application value and promotion potential of AI real-time analysis technology in high-level volleyball training. Method: In this study, 18 elite male volleyball athletes (8 Master athletes and 10 Division I athletes) were selected, and a pre- and post-test experimental design was used. First, measured the spike speed in the natural state (baseline) and wore AI muscle patches to collect the arm EMG signals during the spike. A personalized training program was developed based on the results of the AI macromodel analysis, with a training cycle of 6 weeks, 4 times per week, and the spiking speed (km/h) was measured again after the intervention. The data were analyzed using a paired t-test, and the significance level was set at p < 0.05. AI analysis revealed that the weak muscles of the athletes' arms were mainly concentrated in the distal triceps brachii, radial wrist extensors, and superficial finger flexors. After 6 weeks of individualized training intervention targeting these areas, the spike speed was significantly increased from 72.3±3.1 km/h to 78.5±3.6 km/h (p=0.018). The results showed that the AI muscle patch combined with AI model analysis could accurately identify the weak links of muscle strength and effectively improve the ball-spiking speed through personalized training. This study verifies the effectiveness of the AI muscle patch, which can accurately identify the weak links of muscles of elite volleyball players and significantly improve the spiking speed through targeted training, which is more accurate and efficient than the traditional method of AI-assisted training. The study provides a new means for volleyball-specific training and a reference for the application of AI technology in sports training, which can be expanded to technical training such as blocking and serving, as well as other sports in the future.
Wang et al. (Thu,) studied this question.
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