Incremental learning method in wrist EMG recognition system

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationSICE Annual Conference, SICE 2007
Number of pages4
Publication statusPublished - 2007 Dec 1
Externally publishedYes
EventSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
Duration: 2007 Sept 172007 Sept 20

Publication series

NameProceedings of the SICE Annual Conference


OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007


  • EMG
  • Incremental learning
  • Incremental simple-PCA
  • Pattern recognition
  • Simple-PCA

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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