Intelligent self-powered sensor based on triboelectric nanogenerator for take-off status monitoring in the sport of triple-jumping

Abstract

In the era of big data and the Internet of Things, the digital information of athletes is particularly significant in sports competitions. Here, an intelligent self-powered take-off board sensor (TBS) based on triboelectric nanogenerator (TENG) with a solid-wooden substrate is provided for precise detection of athletes’ take-off status in the sport of triple-jumping, which is sufficient for triple-jumping training judgment with a high accuracy of 1 mm. Meanwhile, a foul alarm system and a distance between the athlete’s foot and take-off line (GAP) measurement system are further developed to provide take-off data for athletes and referees. The induced charges are formed by the TBS during taking-off, and then the real-time exercise data is acquired and processed via the test program. This work presents a self-powered sports sensor for intelligent sports monitoring and promotes the application of TENG-based sensors in intelligent sports.