An Intelligent Glove System for Real‐Time Multiple Electrical Signal Acquisition and Display

Author:

Qiu Yulin1,Dai Xingyi1,Yang Jingkun1,Liao Jiaying1,Han Jiaxin1,Wu Yinghui1,Cao Yajun1,Zhang Xuyang1,Zhong Aihua1,Ni He2,Huang Long‐Biao13ORCID

Affiliation:

1. Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 P. R. China

2. Power Engineering College Naval University of Engineering No. 717 Jiefang Avenue Wuhan Hubei Province 430033 P. R. China

3. National Key Laboratory of Green and Long‐Life Road Engineering in Extreme Environment Shenzhen University Shenzhen 518060 P. R. China

Abstract

AbstractRealizing multimodal tactile perception for robots is highly desirable for achieving more intelligent human–machine interaction. A real‐time intelligent glove system that can capture and monitor hand tactile information, including pressure, bending, and temperature is proposed. This system processes the collected data and visualizes the tactile information in a 2D image. The intelligent glove system integrates a palm‐shaped sensor unit, a multi‐channel data acquisition board, and a data analysis module. The glove consists of 34 flexible sensors, including 28 pressure sensors, five bending sensors, and one temperature sensor, which convert biological information into electrical signals. By enhancing the performance of the system, the intelligent glove achieves high sensitivity and good fault tolerance, allowing it to analyze the multimodal tactile information of the entire hand with fast responsivity. By analyzing the acquired multi‐channel electrical signals, the system can analyze object shapes and various gripping states. This work paves the way for wearable devices used in multimodal tactile perception and promotes the emergence of new modes of human–machine interaction.

Funder

National Natural Science Foundation of China

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3