手势
计算机科学
摩擦电效应
可穿戴计算机
人工智能
计算机视觉
声学
嵌入式系统
物理
量子力学
作者
Ken Qin,Chen Chen,Xianjie Pu,Qian Tang,Wencong He,Yike Liu,Qixuan Zeng,Guanlin Liu,Hengyu Guo,Chenguo Hu
标识
DOI:10.1007/s40820-020-00575-2
摘要
In human-machine interaction, robotic hands are useful in many scenarios. To operate robotic hands via gestures instead of handles will greatly improve the convenience and intuition of human-machine interaction. Here, we present a magnetic array assisted sliding triboelectric sensor for achieving a real-time gesture interaction between a human hand and robotic hand. With a finger's traction movement of flexion or extension, the sensor can induce positive/negative pulse signals. Through counting the pulses in unit time, the degree, speed, and direction of finger motion can be judged in real-time. The magnetic array plays an important role in generating the quantifiable pulses. The designed two parts of magnetic array can transform sliding motion into contact-separation and constrain the sliding pathway, respectively, thus improve the durability, low speed signal amplitude, and stability of the system. This direct quantization approach and optimization of wearable gesture sensor provide a new strategy for achieving a natural, intuitive, and real-time human-robotic interaction.
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