EMG Signal Decoded Based Virtual Artificial Intelligence Hand Control System

被引：0
|
作者：
Yu, Long [1 ]
Gen, Yanjuan [1 ]
Tao, Dandan [1 ]
Zhou, Guodong [1 ]
Chen, Liang [1 ]
Li, Guanglin [1 ]
Wu, Lushen [2 ]
机构：
[1] Univ Town Shenzhen, 1068 Xueyuan Blvd, Shenzhen 518055, Peoples R China
[2] Univ Nanchang, Sch Mechatron Engn, Nanchang, Jiangxi, Peoples R China
来源：
COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3 | 2011年 / 268-270卷
关键词：
Electromyography; virtual reality technology; multifunctional prosthesis control; Artificial intelligence;
D O I：
10.4028/www.scientific.net/AMR.268-270.422
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An electromyography (EMG) decoded based virtual artificial intelligence control system has been developed to quantify the performance of real-time control of a multifunctional myoelectric prosthesis. To develop this platform system, a three-dimensional upper limb was simulated by using Solidworks and then implemented into an integrated scene of virtual artificial limb,which was programmed in virtual reality modeling language (VRML) and performed through Simulink toolbox of the MATLAB. By decoding surface electromyography (sEMG) signals collected from arm muscle surface, the platform system can identify thesix classes of different arm and hand movements and control the virtual artificial limb and/or the physical arms simultaneously. The VR-based platform also provides a relaxant and enjoyable training environment for prosthesis-users in clinic.
引用
收藏
页码：422 / +
页数：2
相关论文
共 50 条
  • [1] Gripping Motion of Artificial Hand Using EMG Signal
    Rosly, Muhammad Hadi Mat
    Rahman, Md Mozasser
    [J]. PROCEEDINGS OF 6TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION ENGINEERING (ICCCE 2016), 2016, : 272 - 276
  • [2] Classification of EMG signals using artificial neural networks for virtual hand prosthesis control
    Mattioli, Fernando E. R.
    Lamounier, Edgard A., Jr.
    Cardoso, Alexandre
    Soares, Alcimar B.
    Andrade, Adriano O.
    [J]. 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 7254 - 7257
  • [3] An Image Processing and Artificial Intelligence based Traffic Signal Control System of Dhaka
    Shaikat, Abu Salman
    Tasnim, Rumana
    Mahbub, Farhan
    Saleheen, Rezwan-us
    Mahmud, Rayhan
    Islam, Tohorul
    [J]. 2019 ASIA PACIFIC CONFERENCE ON RESEARCH IN INDUSTRIAL AND SYSTEMS ENGINEERING (APCORISE), 2019, : 84 - 89
  • [4] CONTROL OF A ROBOTIC PROSTHETIC HAND USING AN EMG SIGNAL BASED COUNTER
    Stanek, Kyle
    Barnhart, Nathan
    Zhu, Yong
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 4A, 2019,
  • [5] EMG Signal Based Finger Movement Recognition for Prosthetic Hand Control
    Haris, Mohd
    Chakraborty, Pavan
    Rao, B. Venkata
    [J]. 2015 COMMUNICATION, CONTROL AND INTELLIGENT SYSTEMS (CCIS), 2015, : 194 - 198
  • [6] Smart car control system based on EMG signal
    Feng, Jin
    Wang, Xingyu
    Zhang, Xiu
    [J]. 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 1891 - 1894
  • [7] ARTIFICIAL INTELLIGENCE-BASED INTERACTIVE VIRTUAL REALITY-ASSISTED GAMING SYSTEM FOR HAND REHABILITATION
    Pillai, Mayaank
    Yang, Yilin
    Dilmars, Corey
    Subhash, Hrebesh
    [J]. MEDICAL IMAGING 2020: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, 2020, 11318
  • [8] EMG-based hand gesture control system for robotics
    Moron, Jonathan
    DiProva, Thomas
    Cochrane, John Reaser
    Ahn, In Soo
    Lu, Yufeng
    [J]. 2018 IEEE 61ST INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2018, : 664 - 667
  • [9] Control of artificial hand via recognition of EMG signals
    Wolczowski, A
    Kurzynski, M
    [J]. BIOLOGICAL AND MEDICAL DATA ANALYSIS, PROCEEDINGS, 2004, 3337 : 356 - 367
  • [10] An artificial intelligence based creative control system
    Chiang, CH
    Chen, LH
    [J]. PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2003, : 1944 - 1949
12345