| Autor: |
Dai N; Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Taipa, Macau 999078, China.; CAS Key Laboratory of Human-Machine Intelligent-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China., Guan X; Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Taipa, Macau 999078, China., Lu C; Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Taipa, Macau 999078, China., Zhang K; Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Taipa, Macau 999078, China., Xu S; School of Microelectronics, Shanghai University, Shanghai 201800, P. R. China., Lei IM; Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Taipa, Macau 999078, China., Li G; CAS Key Laboratory of Human-Machine Intelligent-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China., Zhong Q; School of Microelectronics, Shanghai University, Shanghai 201800, P. R. China., Fang P; CAS Key Laboratory of Human-Machine Intelligent-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China., Zhong J; Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Taipa, Macau 999078, China. |
| Abstrakt: |
Noncontact human-machine interactions (HMIs) provide a hygienic and intelligent approach to communicate between humans and machines. However, current noncontact HMIs are generally hampered by the interaction distance, and they lack the adaptability to environmental interference such as high humidity conditions. Here, we explore a self-powered electret-based noncontact sensor (ENS) with moisture-resisting ability and ultrawide sensing range exceeding 2.5 m. A megascopic air-bubble structure is designed to enhance charge-storage stability and charge-recovery ability of the ENS based on the heterocharge-synergy effect in electrets. Besides, multilayer electret films are introduced to strengthen the electric field by utilizing the electrostatic field superposition effect. Thanks to the above improved performances of the ENS, we demonstrate various noncontact HMI applications in harsh environments, including noncontact appliances, a moving trajectory and accidental fall tracking system, and a real-time machine learning-assisted gesture recognition system with accuracy as high as 99.21%. This research expands the way for noncontact sensor design and may further broaden applications in noncontact HMIs. |
