Wireless Motion Variability Analysis with Integrated Triboelectric Textiles via Displacement Current
Yinghong Wu, Sunil Kumar Sailapu, Chiara Spasiano, Carlo Menon
Abstract
Triboelectric textiles have recently garnered significant attention for their ability to detect and analyze body movements. However, the transmission of wireless signals from natural human motion via integrated triboelectric wearables has been hampered by the reliance on nontextile components, physical interface spacers, and wired connections. Here, we report a wireless biosensing triboelectric wearable system that exploits inherent microgaps within electrospun nanofibers to create a triboelectric textile, seamlessly woven into the garment at various positions. This design enables untethered continuous biosignal monitoring, including those indicative of stride-time variability and joint-time variability analysis from daily activities and exercise. Signals are wirelessly transmitted via displacement current─enhanced by a textile inductor─to an external reader. This innovation enables wireless signal transmission directly from garments without the need for external energy sources. This work advances the development of fully textile-based wireless wearable sensors contributing to next-generation motion tracking, health monitoring, and smart clothing technologies.