• DocumentCode
    2644641
  • Title

    Incremental learning method in wrist EMG recognition system

  • Author

    Oyama, Tadahiro ; Matsumura, Yuji ; Karungaru, Stephen ; Tsuge, Satoru ; Mitsukura, Yasue ; Fukumi, Minoru

  • Author_Institution
    Univ. of Tokushima, Tokushima
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    2819
  • Lastpage
    2822
  • Abstract
    In a field of pattern recognition, researches of feature extraction and dimension reduction using the Simple-PCA that is an approximation algorithm of the principal component analysis (PCA) are actively conducted. In such a statistical method, a lot of algorithms that perform incremental learning by using new incremental data exist. For example, there is an algorithm named Incremental PCA for PCA. However, the algorithm capable of performing incremental learning to the Simple-PCA has not been presented yet. In this paper, we propose Incremental Simple-PCA that introduces an incremental learning function to the Simple-PCA. Moreover, the effectiveness of this algorithm is verified in EMG pattern recognition.
  • Keywords
    approximation theory; electromyography; feature extraction; learning (artificial intelligence); medical signal processing; principal component analysis; approximation algorithm; dimension reduction; electromyography; feature extraction; incremental learning method; principal component analysis; statistical method; wrist EMG pattern recognition system; Electromyography; Learning systems; Wrist; EMG; Incremental Simple-PCA; Simple-PCA; incremental learning; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4421468
  • Filename
    4421468