With the rapid development of intelligent technology, people’s lives have gradually entered the era of information and intelligence. Traditional vision-based and sensor-based human motion detection methods have shortcomings such as high illumination requirements, difficulty in preserving privacy, and poor portability. The wireless sensor detection method based on a wireless network can overcome the shortcomings of these methods, so it has become a hot research direction. Human motion parameters are very important data. If leaked, it may cause unimaginable harm to individuals. Blockchain technology is an emerging technology in the field of information technology. Its decentralized nature, distributed storage, and data is not easy. The modification provides a feasible solution for us to realize the data upload. Combining the advantages of wireless sensing and blockchain technology, this paper proposes a method of wireless sensing collection of human motion parameters based on blockchain, and designs a human motion recognition system. The experiment found that under the experiments given in this article, the traditional accuracy rate of sensor data collection is 71.82%, and the accuracy rate of the wireless sensing collection method of human motion parameters based on the blockchain in this article has reached 95.31%, which verifies the effectiveness and superiority of the system designed in this article.
In order to improve the effect of tennis intelligent teaching, this paper combines the human skeleton node model to construct a tennis intelligent teaching model. Aiming at the fact that there are errors in model identification and positional disturbances such as friction which cannot be avoided in actual tennis teaching, an effective sliding mode control strategy based on disturbance observer is presented. Moreover, this paper builds a simulation model through MATLAB/Simulink to verify the influence of the three parameters of inertia, damping, and stiffness in the admittance model on the control performance. Then, this paper combines the admittance control theory to analyze the difference between the active mode and the passive mode and the main functions of the two control modes and constructs an intelligent simulation system. The experimental study shows that the tennis intelligent teaching model based on the human skeleton node model has good effects in tennis action correction and tennis-teaching effect improvement.
Abstract-Regional cooperation is an effective way to realize balanced and sustainable development of campus physical education. The exploration on the development strategy of physical education in regional campus helps to enrich the theory of campus physical education reform in China, expand the development of physical education undertakings, and realize the sustainable development of physical education in regional campus. In order to provide the theoretical support to the development strategy of physical education in regional campus, in this paper, document literature, logical deduction and other research techniques are applied to study the development strategy of physical education in regional campus, and systematically analyze theoretical basis, development status and development path of physical education in regional campus, then main conclusions are drawn as follows: (1) The pattern of regional economy has created uneven allocation of resources of physical education and sports 。 (2) multi-dimensional factors such as geography, culture and value have influenced the development of schools' sports development concepts, resulting in the limitations of regional school sports strategies. (3) To build a regional school sports cooperation mechanism method, improve the system policy of regional development and school sports, and optimize the education resource allocation of sports.
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