This research aims to create a flexible sensor for accurate gesture recognition in table tennis training.
Developed a flexible sensor using laser-induced graphene and Kevlar.
Tested sensor performance in recognizing table tennis gestures.
Evaluated the sensor's effectiveness in real-time motion analysis.
The sensor accurately recognized various table tennis gestures.
Demonstrated robustness and conformability suitable for athletic training.
Improved gesture recognition efficiency compared to existing systems.
Abstract
The development of conformable and robust flexible electronics is paramount for the advancement of wearable systems capable of sophisticated human motion analysis. In this work, a flexible sensor based on...