Graded Nanotexturing Architectural Wearable Triboelectric Sensor for Programmable Haptic Exploration
Jinlong Wang, Yanhua Liu, Xiuzhen Li, Weijie Zeng, Tong Zhao, Bin Luo, Tao Liu, Mingchao Chi, Chenchen Cai, Song Zhang, Cong Gao, Shuangfei Wang, Shuangxi Nie
Abstract
Emulating biological perception mechanisms to construct intelligent sensing devices and systems represents a paradigm for promoting human–computer interaction in the Internet of Everything era. Nonetheless, developing highly sensitive, real-time sensing and rapidly integrated intelligent interaction units remains a challenging and time-consuming endeavor. This study employs a low-temperature glow discharge technique to rapidly fabricate graded nanotexturing architectural triboelectric nanopaper, upon which wearable triboelectric sensors for real-time tactile detection are designed. The structure enhances the contact area under an external force. Additionally, the Z-stacking structure design enables the sensor to achieve a remarkable sensitivity of 10.3 kPa –1 and a rapid response time of 52 ms. Furthermore, a tactile sensor array was designed to demonstrate the triboelectric sensor’s ability to recognize characteristic pressures. With programmable machine learning techniques, the object recognition rate reached 97%. This study supports material structural design across disciplines, laying a solid foundation for the rapid fabrication and integration of transient wearable electronics.