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Simulation of police shooting stability training based on FPGA and sensors

机译：基于FPGA和传感器的警察抢救训练仿真

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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.
机译：稳定性培训是指这种做法，而表面是躯干和目标的不稳定和激活稳定器肌肉，这可能会忽略其他形式的运动。对于稳定性，火车网络控制系统是由网络延迟和辍学的网络延迟和数据包引起的。目前的研究旨在分析必要的射击技能的准确性，并检查均衡姿势，稳定性和步枪射击性能手镯。不同性能群体中的身体没有负担。编号等同的连续时间模型，提出的账户。火车网络控制系统模型采用罗马诺夫理论，一些新的分析技术进入，较少的保守结果。它将完成。数值显示方法的有效性。在正确使用架构的建议培训，以塑造肌肉记忆培训实习生地位信号训练器导致不正确的行为。学生警告说，在需要在需要的相位检测不必要或过多的运动手枪时重试，近期射击将被暂停。结合实时生物反馈应用，它可以导致加速学习，培训贫困的镜头数量可以减少，从而节省时间和成本。

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