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In order to study effects of badminton players smashing training on proprioceptive features, explore proprioceptive features effect on fine motion control of the body and reveal the brain producing mechanism, this paper uses progressive scan mode and wireless sensor device to design the sensor nodes of motion mode, and 2 nodes covering 3 goals. Using the muscle activity 3D space as the goal, the sensor node is discredited. Through the measurement of the badminton players muscle displacement, this paper obtained the characteristic differences of body movement, which provides reliable data library for badminton players spiking training. Introduction Definition of proprioception was originally proposed by Charles Bell, he made proprioception as the fundamental structural basis of perception and motion, while the modern scholars see the proprioception as special variables of measuring kinesthetic and joint position [1, 2]. This paper uses wireless sensor device and mobile sensor node distribution to analyze the muscle displacement changes of player in the movement process, so as to obtain the best action points of spiking in the process. The main process is as follows. Motion analysis Progressive scanning Mobile node

Detector Performance Analysis of Coverage Area Difference movement in Sensor Network Based on Triangulation