Recognition system for EMG signals by using non-negative matrix factorization

被引：0
|
作者：
Yazama, Y [1 ]
Mitsukura, Y [1 ]
Fukumi, M [1 ]
Akamatsu, N [1 ]
机构：
[1] Univ Tokushima, Fac Engn, Dept Informat Sci & Intelligent Syst, Tokushima 770, Japan
来源：
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
IIn this paper, the feature vector of a few dimension for the electromyograph (EMG) recognition systems is extracted. We aim at the construction of the comprehensive operation equipment to which the operation used frequently was summarized. Important frequency bands of EMG signals are selected by using a genetic algorithm. The EMG signals are a kind of the living organism signal. The EMG signals based on 7 operations at a wrist axe measured and recognized. We perform a recognition experiment of EMG signals by neural network using the selected frequency band. We show the effectiveness of this method by means of computer simulations.
引用
收藏
页码：2130 / 2133
页数：4
相关论文
共 50 条
  • [1] Recognition from EMG signals by an evolutional method and non-negative matrix factorization
    Yazama, Y
    Mitsukura, Y
    Fukumi, M
    Akamatsu, N
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2003, 2773 : 594 - 600
  • [2] Automatic Factorization of Biological Signals by using Boltzmann Non-negative Matrix Factorization
    Watanabe, Kenji
    Hidaka, Akinori
    Kurita, Takio
    [J]. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 1122 - 1128
  • [3] Non-negative matrix factorization for face recognition
    Guillamet, D
    Vitriá, J
    [J]. TOPICS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2002, 2504 : 336 - 344
  • [4] Face recognition with non-negative matrix factorization
    Rajapakse, M
    Wyse, L
    [J]. VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2003, PTS 1-3, 2003, 5150 : 1838 - 1847
  • [5] Ear recognition using improved Non-Negative Matrix Factorization
    Yuan, Li
    Mu, Zhi-Chun
    Zhang, Yu
    Liu, Ke
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, PROCEEDINGS, 2006, : 501 - +
  • [6] Chinese Character Recognition Using Non-negative Matrix Factorization
    Voon, Chen Huey
    Shin, Ker
    Shean, Ng Wei
    [J]. JURNAL KEJURUTERAAN, 2024, 36 (02): : 653 - 660
  • [7] ECG-EMG Separation by Using Enhanced Non-Negative Matrix Factorization
    Niegowski, Maciej
    Zivanovic, Miroslav
    [J]. 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 4212 - 4215
  • [8] A Hardware Acceleration for Surface EMG Non-Negative Matrix Factorization
    Cerina, Luca
    Cancian, Pierandrea
    Franco, Giuseppe
    Santambrogio, Marco D.
    [J]. 2017 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM WORKSHOPS (IPDPSW), 2017, : 168 - 174
  • [9] Face Recognition using Gabor Wavelet and Non-Negative Matrix Factorization
    Purnomo, Fredy
    Suhartono, Derwin
    Shodiq, Muhsin
    Susanto, Albert
    Raharja, Steven
    Kurniawan, Ricky Wijaya
    [J]. 2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS), 2015, : 788 - 792
  • [10] Face recognition using wavelet transform and non-negative matrix factorization
    Foon, NH
    Jin, ATB
    Ling, DNC
    [J]. AI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2004, 3339 : 192 - 202
12345