Evaluation of sports fitness and biomechanics health monitoring for the integration of blockchain and internet of things
Abstract
As the economy grows and living standards improve, there is an increasing awareness of the importance of health. Traditional sports monitoring tools often fall short in terms of functionality, accuracy, and efficiency, especially when it comes to biomechanical analysis. This study investigates the integration of blockchain and Internet of Things (IoT) technologies in health monitoring within the biomechanics field, involving 300 students, 100 teachers, and 300 other participants. The participants were divided into an experimental group that utilized blockchain-IoT monitoring and a control group that relied on traditional methods. By employing the Byzantine consensus mechanism, data were analyzed in terms of processing efficiency, accuracy, effectiveness, and achievement of biomechanical fitness standards. The results indicated that the experimental group achieved higher rates of meeting weight standards (with an average of 82%) compared to the control group (76%). These findings underscore the potential of blockchain-IoT integration in enhancing the accuracy and effectiveness of biomechanical monitoring. This technology can promote a deeper understanding of biomechanical principles and improve nationwide fitness and exercise engagement by providing more reliable and precise data on physical performance and movement patterns.
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