Basketball is a sport that requires high athletes’ skills and physical fitness and is deeply loved by the people in our country. This paper studies the application of neural network-based motion sensors in basketball technology and physical fitness evaluation system. The ideal effect of the system is to scientifically analyze relevant data through intelligent algorithms and provide more accurate diagnosis suggestions. Recognizing human movements requires collecting various data of the human body through motion sensors. The data acquisition components of this system are based on considerations of portability and power consumption and are equipped with equipment with strong computing power to realize the functions of data preprocessing, training, and recognition of the recognition model. The system only needs to send the data in the data collector to the computing device; it can effectively realize the action recognition and judge whether the athlete’s technical action and physical fitness level meet the standard. From the experimental data, the pass rate of the subjects in the 1000-meter run was 83.3%, and the excellent rate was 10%; the pass rate in the 1-mile run was 90%, and the excellent rate was 6.7%; and the pass rate in the 20-meter round trip was only at 56.67%; it can be seen that there is still room for improvement in the reaction speed and agility of most subjects. According to intelligent data analysis, athletes can better understand where they have shortcomings and improve their physical fitness and basketball skills through targeted training.

Due to the high complexity, high destructive power, and comprehensive governance characteristics of public health emergencies, the ability of social governance has been distorted and alienated under intensive pressure, and the subjects of social governance have become lazy, professional, and politicized. There are obvious problems, such as system information leakage and information asymmetry. Based on the above background, the purpose of this article is to study the application of artificial intelligence to social governance capabilities under public health emergencies. This article focuses on the relevant concepts and content of emergency management of public health emergencies and in-depth analysis of the actual application of big data technology in epidemic traceability and prediction, medical diagnosis and vaccine research and development, people’s livelihood services, and government advice and suggestions, combined with investigations. The questionnaire analysis sorted out the problems in the social emergency management of public health emergencies in China. The results showed that 87.7% of the people simply sorted out laws and regulations and higher-level documents or even repeated content and lacked summary and reflection on emergency response experience, which led to the operability of emergency plans being generally even poor. In response to the shortcomings, countermeasures and suggestions were put forward, including establishing a standard data collection mechanism, establishing a data sharing mechanism, establishing a personal privacy security protection mechanism, and promoting the breadth and depth of big data applications.

Smart government is an important means of optimizing government management, improving the government decision-making capacity, and pushing forward the public service. When the smart government process applies, the dire straits of collaborative governance among the different participants could not be ignored usually caused by maximizing their profits. Based on the current research, this paper introduces the blockchain technology into the smart government system and establishes a smart government platform architecture. Meanwhile, to analyse the evolutionary and stable strategies of the three parties under the blockchain technology, the evolutionary game model including functional departments, local governments, and end users as the main players is established on account of the bounded rationality. By examining the “blockchain + government service” in Beijing with the systemic dynamics theory, this paper changes the influencing factors simulated by changing the parameter assignment, to determine the evolutionary stable equilibrium under different external conditions. The results show that local government supervision plays a leading role in the process of collaborative governance of smart government based on blockchain technology; meanwhile, effective cost control is a key factor affecting the evolutionary stability strategy (ESS). Besides, the “decentralized” structure, “distrust” architecture, and “precision” mechanism of the blockchain are verified for the effect of the evolution process. Among them, precision service and flat management improve the possibility of collaborative governance, but the impact of the trust mechanism is not obvious. Therefore, the collaborative governance model of smart government based on blockchain technology is loaded with far-reaching significance for promoting the modernization of China’s governance capacity and governance system.

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