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首页|期刊导航|中南大学学报(自然科学版)|有机凝胶肌电电极制备及其在动态手势识别的应用

有机凝胶肌电电极制备及其在动态手势识别的应用

张建寰 徐益鑫 邓连钧 徐周毅 张陈涛

中南大学学报(自然科学版)2024,Vol.55Issue(6):2153-2161,9.
中南大学学报(自然科学版)2024,Vol.55Issue(6):2153-2161,9.DOI:10.11817/j.issn.1672-7207.2024.06.009

有机凝胶肌电电极制备及其在动态手势识别的应用

Preparation of organohydrogel EMG electrodes and their application in dynamic gesture recognition

张建寰 1徐益鑫 1邓连钧 1徐周毅 1张陈涛1

作者信息

  • 1. 厦门大学萨本栋微米纳米科学技术研究院,福建厦门,361102
  • 折叠

摘要

Abstract

To address the issue of motion artifacts and poor adherence between traditional electromyographic(EMG)electrodes and the skin,a conductive and self-adhesive organohydrogel was proposed as electrodes for monitoring EMG signals,which was applied to recognize dynamic hand gestures.Firstly,an interpenetrating network structure combining physical and chemical crosslinking was used to prepare the polyacrylamide/sodium alginate/tannic acid organohydroge by adding tannic acid,sodium chloride,and glycerol into a biocompatible polyacrylamide/sodium alginate system.Secondly,the mechanical,conductive and adhesive properties of the prepared organohydrogel were tested.Finally,a convolutional neural network(CNN)algorithm was employed for the recognition of dynamic hand gestures.The results show that the prepared organohydrogel has a low elastic modulus and reversible self-adhesive ability,achieving conformal adhesion to the skin.Meanwhile,the organohydrogel has an elastic modulus of 7.7 kPa,an elongation rate of 310%,an ionic conductivity of 2.81 mS/cm,and good self-adhesive performance as well as degradability.When they are used as skin surface electrodes for EMG signal detection,they can obtain high-quality EMG signals with a signal-to-noise ratio(SNR)of 17.14 dB,and effectively recognize dynamic actions of different interface operations and sign language gestures,with average recognition rates reaching 95.04%and 98.67%,respectively.The organohydrogel electrodes have a high signal-to-noise ratio,can effectively recognize dynamic gestures,and thus have broad application prospects in the fields of human-computer interaction and teleoperation of robots.

关键词

肌电信号/有机凝胶/柔性电极/动态手势识别

Key words

electromyographic signals/organohydrogel/flexible electrodes/dynamic gesture recognition

分类

信息技术与安全科学

引用本文复制引用

张建寰,徐益鑫,邓连钧,徐周毅,张陈涛..有机凝胶肌电电极制备及其在动态手势识别的应用[J].中南大学学报(自然科学版),2024,55(6):2153-2161,9.

基金项目

福建省自然科学基金资助项目(2023J01047) (2023J01047)

厦门市自然科学基金资助项目(3502Z20227185)(Project(2023J01047)supported by the Natural Science Foundation of Fujian Province (3502Z20227185)

Project(3502Z20227185)supported by the Natural Science Foundation of Xiamen City (3502Z20227185)

中南大学学报(自然科学版)

OA北大核心CSTPCD

1672-7207

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