• 文献标题:   Ultralight Smart Patch with Reduced Sensing Array Based on Reduced Graphene Oxide for Hand Gesture Recognition
  • 文献类型:   Article
  • 作  者:   LIU YC, LIANG XP, LI HN, DENG HT, ZHANG XR, WEN DL, YUAN MY, HEIDARI HD, GHANNAM R, ZHANG XS
  • 作者关键词:   hand gesture recognition, humanmachine interface, mems, piezoresistive sensor, reduced graphene oxide
  • 出版物名称:   ADVANCED INTELLIGENT SYSTEMS
  • ISSN:  
  • 通讯作者地址:  
  • 被引频次:   2
  • DOI:   10.1002/aisy.202200193 EA OCT 2022
  • 出版年:   2022

▎ 摘  要

Flexible sensors for hand gesture recognition and human-machine interface (HMI) applications have witnessed tremendous advancements during the last decades. Current state-of-the-art sensors placed on fingers or embedded into gloves are incapable of fully capturing all hand gestures and are often uncomfortable for the wearer. Herein, a flake-sphere hybrid structure of reduced graphene oxide (rGO) doped with polystyrene (PS) spheres is fabricated to construct the highly sensitive, fast response, and flexible piezoresistive sensor array, which is ultralight in the weight of only 2.8 g and possesses the remarkable curved-surface conformability. The flexible wrist-worn device with a five-sensing array is used to measure pressure distribution around the wrist for accurate and comfortable hand gesture recognition. The intelligent wristband is able to classify 12 hand gestures with 96.33% accuracy for five participants using a machine learning algorithm. To showcase our wristband, a real-time system is developed to control a robotic hand via the classification results, which further demonstrates the potential of this work for HMI applications.