接口(物质)
触觉传感器
触觉知觉
计算机科学
职位(财务)
压力传感器
电压
信号(编程语言)
工作(物理)
工程类
计算机视觉
人工智能
机制(生物学)
体积热力学
位置传感器
感知
模拟
声学
接近传感器
用户界面
图层(电子)
人机交互
面子(社会学概念)
电子工程
作者
Fengyuan Yang,Wenqiang Yin,Chongxiang Pan,Jia Meng,P. Zhang,Xiong Pu
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2026-02-25
卷期号:26 (5): 1436-1436
摘要
Achieving precise sliding perception is crucial for enhancing human-machine interactions. Despite the extensive investigation of tactile sensors for static pressure detection, they still face challenges in detecting dynamic information such as sliding direction, speed, pressure and position in interactive touch scenarios. Herein, we propose a self-powered tactile interface that realizes motion-to-electricity generation by electrostatically regulating the carrier concentration and transport in the semiconductive layer with a top gate in sliding movement. This tactile sliding interface can distinguish various dynamic mechanical information by generating voltage signals related to the sliding direction, speed, pressure, and touch position without external bias voltage. By combining machine-learning algorithms, electrical signals of six representative sliding-touch interactions were accurately classified with a recognition accuracy of 98.33%. Furthermore, by integrating sensors into the smartphone's side button, customizable functions such as volume control, screen unlocking, and music switching were achieved. This work provides an innovative mechanism for sliding sensing in interactive electronic and intelligent control systems.
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