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
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