An Intelligent Human-Computer Interaction System Based on Wireless Self-Powered Sensor for Motion Monitoring

Abstract

With the development of the Internet of Things and information technology, large numbers of self-powered flexible sensors are needed to monitor the state of human motions. Triboelectric nanogenerators (TENGs) have attracted attention in sports monitoring due to its low cost and materials versatility. An Eco-flex-PTFE TENG (PE-TENG) system has been designed to real-time monitor and analyze the position and force changes of soccer players when kicking the ball on the outside, inside, and front of the foot, and to evaluate the technical motions. The PE-TENG system includes a PE-TENG sensing unit, Bluetooth transmission end, and an upper computer digital signal receiving end. The friction layer of the PE-TENG sensing unit is composed of Eco-flex and PTFE. PE-TENG system has the advantages of small size, light weight, stable working performance, and does not require external power supply. On the basis of the PE-TENG system, designed a human-computer interaction system to achieve the combination of real and virtual kicking skills for analyzing soccer players’ kicking motions. The system provides a new direction for scientific monitoring of soccer training, and entertainment of soccer players, while also accelerating the broad application prospects of self-powered wearable sports sensors in the field of sports monitoring.