Table Tennis Technical and Tactical Ability Based on Secure Internet of Things and BP Neural Network

Table tennis forehand fast attack and loop technology is the core of project, table footwork directly related to technical level development prospects athletes. However, it very difficult study issues such as tennis. This paper mainly studies movement analysis strength monitoring system based on posture sensor. article introduces improved BP neural network algorithm Secure Internet Things. The dynamic error compensation sensor verified by experiments. In prediction stage, uses estimated value previous state input estimate current state. calibration output data can be used next get more accurate value. MATLAB read data, sampling frequency 50 Hz, acceleration angular velocity are at same frequency. Finally, flight trajectory predicted. difference between actual carrier about 0.07 m/s, displacement 0.45 m. results show that attitude plays a good role in track serving