Self‐powered Biosensor Big Data Intelligent Information Processing System for Real‐time Motion Monitoring

Abstract

A portable self‐powered biosensor big data information processing system has been designed to help coaches monitor athlete training performance in real‐time. The material system is composed of tetrapod‐shaped ZnO nanowires and common textiles. Based on the piezoelectric effect, the device can convert weak shape variables into electrical signals, and the output piezoelectric signal obviously depends on the shape variable, the surrounding humidity and temperature. After attaching the device to the athlete, it can monitor the speed, frequency, angle of an athlete, and surrounding humidity and temperature in real‐time without external power supply. API data collected by information processing end, server behavior simulated by Web service, turns the host of integrated web services into a data server, shares to other terminals via LAN to implement the visual charts summary for data‐driven views, summarize and analyze charts. This multidisciplinary research can point out the new development direction of sport science and may promote the development of flexible self‐powered multifunctional nano‐systems.