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Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187499/ https://www.ncbi.nlm.nih.gov/pubmed/34138239 http://dx.doi.org/10.1007/s40820-020-00575-2 |
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author | Qin, Ken Chen, Chen Pu, Xianjie Tang, Qian He, Wencong Liu, Yike Zeng, Qixuan Liu, Guanlin Guo, Hengyu Hu, Chenguo |
author_facet | Qin, Ken Chen, Chen Pu, Xianjie Tang, Qian He, Wencong Liu, Yike Zeng, Qixuan Liu, Guanlin Guo, Hengyu Hu, Chenguo |
author_sort | Qin, Ken |
collection | PubMed |
description | 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. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material at (doi:10.1007/s40820-020-00575-2). |
format | Online Article Text |
id | pubmed-8187499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-81874992021-06-14 Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction Qin, Ken Chen, Chen Pu, Xianjie Tang, Qian He, Wencong Liu, Yike Zeng, Qixuan Liu, Guanlin Guo, Hengyu Hu, Chenguo Nanomicro Lett Article 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. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material at (doi:10.1007/s40820-020-00575-2). Springer Nature Singapore 2021-01-05 /pmc/articles/PMC8187499/ /pubmed/34138239 http://dx.doi.org/10.1007/s40820-020-00575-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Qin, Ken Chen, Chen Pu, Xianjie Tang, Qian He, Wencong Liu, Yike Zeng, Qixuan Liu, Guanlin Guo, Hengyu Hu, Chenguo Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction |
title | Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction |
title_full | Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction |
title_fullStr | Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction |
title_full_unstemmed | Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction |
title_short | Magnetic Array Assisted Triboelectric Nanogenerator Sensor for Real-Time Gesture Interaction |
title_sort | magnetic array assisted triboelectric nanogenerator sensor for real-time gesture interaction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187499/ https://www.ncbi.nlm.nih.gov/pubmed/34138239 http://dx.doi.org/10.1007/s40820-020-00575-2 |
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