Highly Sensitive and Durable, Triboelectric Based Self‐Powered Nanosensor for Boundary Detection in Sports Event

Abstract Assisted adjudication of sports activities and events is becoming more intelligent with the rapid development of the Internet of Things (IoTs). Sensors such as pressure sensors and image sensors have been widely used in sports events, but their durability and energy supply are still challenge. Herein, a novel boundary detection sensor based on hyperelastic triboelectric nanogenerator (H‐TENG) for intelligent boundary detection is proposed. The stress–strain of a tennis ball colliding with H‐TENG at high speed and the sensing stability are investigated by simulation analysis and experimental validation. The pressure sensitivity of 2.96 V kPa −1 is achieved with excellent linearity ( R 2 = 0.957082) at the pressure of 2.8–13 kPa. And at the velocity of 2–4.47 m s −1 , the velocity sensitivity reaches ‐10.76 V (m s −1 ) −1 with excellent linearity ( R 2 = 0.948758). Furthermore, a four‐channels signal acquisition system is constructed for enhancing the detection accuracy, and the response times of signal feedback are less than 45 ms. This work not only provides a novel approach for intelligent boundary detection in sporting events, but also demonstrates its promising applications in multiple challenges and quick penalties in sports competitions, as well as in intelligent and digital training of athletes.