题目： | Neuromorphic Computing-Assisted Triboelectric Capacitive-Coupled Tactile Sensor Array for Wireless Mixed Reality Interaction |
作者： | Xinkai Xie1,2,3,4#, Qinan Wang2,3#, Chun Zhao2*, Qilei Sun2, Haicheng Gu1, Junyan Li2,3, Xin Tu3, Baoqing Nie5, Xuhui Sun1, Yina Liu6, Eng Gee Lim2, Zhen Wen1*, Zhong Lin Wang7,8* |
单位： | 1Institute of Functional Nano & Soft Materials (FUNSOM), Joint International Research Laboratory of Carbon-Based Functional Materials and Devices, Soochow University, Suzhou 215123, P. R. China. 2Department of Electrical and Electronic Engineering, School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou 215123, P. R. China. 3Department of Electrical and Electronic Engineering, University of Liverpool, Liverpool L693GJ, U.K. 4Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, P. R. China. 5School of Electronic and Information Engineering, Soochow University, Suzhou 215006, P. R. China. 6Department of Applied Mathematics, School of Mathematics and Physics, Xi’an Jiaotong-Liverpool University, Suzhou 215123, P. R. China. 7Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China. 8School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 303320245, United States. |
摘要： | Flexible tactile sensors show promise for artificial intelligence applications due to their biological adaptability and rapid signal perception. Triboelectric sensors enable active dynamic tactile sensing, while integrating static pressure sensing and real-time multichannel signal transmission is key for further development. Here, we propose an integrated structure combining a capacitive sensor for static spatiotemporal mapping and a triboelectric sensor for dynamic tactile recognition. A liquid metal-based flexible dual-mode triboelectric-capacitive-coupled tactile sensor (TCTS) array of 4 × 4 pixels achieves a spatial resolution of 7 mm, exhibiting a pressure detection limit of 0.8 Pa and a fast response of 6 ms. Furthermore, neuromorphic computing using the MXene-based synaptic transistor achieves 100% recognition accuracy of handwritten numbers/letters within 90 epochs based on dynamic triboelectric signals collected by the TCTS array, and cross-spatial information communication from the perceived multichannel tactile data is realized in the mixed reality space. The results illuminate considerable application possibilities of dual-mode tactile sensing technology in human−machine interfaces and advanced robotics. |
影响因子： | 15.8 |
分区情况： | 一区 |
链接： | https://doi.org/10.1021/acsnano.4c03554 责任编辑：杜欣 |