Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction

Autor: Ken Qin, Chen Chen, Xianjie Pu, Qian Tang, Wencong He, Yike Liu, Qixuan Zeng, Guanlin Liu, Hengyu Guo, Chenguo Hu
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nano-Micro Letters, Vol 13, Iss 1, Pp 1-9 (2021)
Druh dokumentu: article
ISSN: 2311-6706
2150-5551
DOI: 10.1007/s40820-020-00575-2
Popis: Abstract 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.
Databáze: Directory of Open Access Journals
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