Controlling an Anatomical Robot Hand Using the Brain-Computer Interface Based on Motor Imagery

Author:

Herath H. M. K. K. M. B.1ORCID,de Mel W.R.2

Affiliation:

1. Department of Mechanical Engineering, The Open University of Sri Lanka, Colombo, Sri Lanka

2. Department of Materials and Mechanical Technology, University of Sri Jayewardenepura, Nugegoda, Sri Lanka

Abstract

More than one billion people face disabilities worldwide, according to the World Health Organization (WHO). In Sri Lanka, there are thousands of people suffering from a variety of disabilities, especially hand disabilities, due to the civil war in the country. The Ministry of Health of Sri Lanka reports that by 2025, the number of people with disabilities in Sri Lanka will grow by 24.2%. In the field of robotics, new technologies for handicapped people are now being built to make their lives simple and effective. The aim of this research is to develop a 3-finger anatomical robot hand model for handicapped people and control (flexion and extension) the robot hand using motor imagery. Eight EEG electrodes were used to extract EEG signals from the primary motor cortex. Data collection and testing were performed for a period of 42 s timespan. According to the test results, eight EEG electrodes were sufficient to acquire the motor imagery for flexion and extension of finger movements. The overall accuracy of the experiments was found at 89.34% (mean = 22.32) at the 0.894 precision. We also observed that the proposed design provided promising results for the performance of the task (grab, hold, and release activities) of hand-disabled persons.

Publisher

Hindawi Limited

Subject

Human-Computer Interaction

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Object Weight Perception in Motor Imagery Using Fourier-Based Synchrosqueezing Transform and Regularized Common Spatial Patterns;IEEE Access;2024

2. Research on Automatic Recognition Technology of Print Robot in Human-Computer Interaction;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

3. EEG Signal Processing For Motor Imagery Direction of Hand Movement Using the Brain Computer Interface;2023 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob);2023-10-10

4. EEG-Assisted EMG-Controlled Wheelchair for Improved Mobility of Paresis Patients;2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET);2023-05-19

5. OptEF-BCI: An Optimization-Based Hybrid EEG and fNIRS–Brain Computer Interface;Bioengineering;2023-05-18

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