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Simulation of police shooting stability training based on FPGA and sensors
Affiliation:1. Practical Skills Department, Shandong Police College, Jinan, Shandong, 250000, China;2. Department of Public Order Policing, Shandong Police College, Jinan, Shandong, 250000, China;1. Department of Convergence Design, Hanseo University, Chungnam, 356-706, Republic of Korea;2. School of Fine Arts & Design, Chuzhou University, Chuzhou, 239000, China;3. Department of Architecture, Hanseo University, Chungnam, 356-706, Republic of Korea;1. Department of Traditional Chinese Medicine, Hubei Maternal and Child Health Hospital, Wuhan, China;2. Ultrasound Diagnosis Department, Hubei Maternal and Child Health Hospital, Wuhan, China;1. College of Computer Science and Technology, Jilin University, Changchun, Jilin, 130012, China;2. College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao, Inner Mongolia, 028000, China;1. School of Economics and Management, Xi''an University of Technology, Xi''an, Shaanxi, 710048, China;2. Business School, Xinxiang University, Xinxiang, Henan, 453003, China
Abstract:Stability training refers to the practice, while the surface is unstable and activation stabilizer muscles of the trunk and goals, which may ignore other forms of exercise. For stability, the train network control system is caused by network latency and packet drop out of school. The current study aimed to analyze the accuracy of necessary shooting skills and check the balanced posture, stability, and rifle shooting performance bracelets. There is no burden on the body in different performance groups. No. Equivalent continuous-time model, proposed account. The train network control system model uses Romanov theory, some new analytical techniques to get in, and less conservative results. It will be completed. The effectiveness of the proposed method of numerical display. The proposed training in the correct use of architecture to shape muscle memory training interns position signal trainee lead to incorrect behavior. Students warned that the recent shooting would be suspended after the retry using the selected function when needed for phase detection of unnecessary or excessive exercise pistol. Combined with real-time biofeedback applications, it can lead to accelerated learning, training the number of shots that poverty can be reduced, thereby saving time and costs.
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