Self-Powered Acceleration Sensor for Distance Prediction via Triboelectrification.

ABSTRACT: Accurately predicting the distance an object will travel to its destination is very important in various sports. Acceleration sensors as a means of real-time monitoring are gaining increasing attention in sports. Due to the low energy output and power density of Triboelectric Nanogenerators (TENGs), recent efforts have focused on developing various acceleration sensors. However, these sensors suffer from significant drawbacks, including large size, high complexity, high power input requirements, and high cost. Here, we described a portable and cost-effective real-time refreshable strategy design comprising a series of individually addressable and controllable units based on TENGs embedded in a flexible substrate. This results in a highly sensitive, low-cost, and self-powered acceleration s

SUBMITTER: Ding Z 

PROVIDER: S-EPMC11209619 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature