Online learning method using support vector machine for surface-electromyogram recognition

Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08

Volumn , Issue , 2008, Pages 227-230

  Kawano, Shuji ^a   Okumura, Dai ^a   Tamura, Hiroki ^a   Tanaka, Hisasi ^a   Tanno, Koichi ^a  

^a UNIVERSITY OF MIYAZAKI   (Japan)

Author keywords

Neural network; Pattern classification problem; Support vector machine; Surface electromyogram

Indexed keywords

ELECTROMYOGRAM; IT PERFORMANCE; MUSCLE WASTING; ON-LINE LEARNING METHODS; ONLINE LEARNING; PAIRWISE COUPLINGS; PATTERN CLASSIFICATION PROBLEMS; SIMULATION RESULT;

COUPLINGS; E-LEARNING; PROBLEM SOLVING; ROBOTICS; SUPPORT VECTOR MACHINES;

NEURAL NETWORKS;

EID: 72449200306     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Kizuka Tomohiro, Masuda Tadashi, Kiryu Tohru and Sadoyama Tsugutake, "Practical Usage of Surface Electromyogram", Biomechanism Library, 2006.
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3. C.J.C Burges, "A Tutorial on Support Vector Machine for Pattern Recognition", Data Mining and Knowledge Discovery, vol.2, no.2, 1998.
4. Nello Cristianini, John Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods", Cambridge University Press, 2000.
5. Nobuhiko Ogura, Sumio Watanabe, "Online Learning for Support Vector Machine using Necessity Estimation",Techinical report of IEICE PRMU,Vol,99,No,182,pp45-52,1909.(Japanese)
6. Hiroki Tamura, Dai Okumura, Koichi Tanno, "A Study of Motion Recognition without FFT from Surface- EMG", Vol, J90-D No, 9 pp.2652-2655, THE JOURNAL OF IEICE D, 2007.(Japanese)
7. Dai Okumura, Hiroki Tamura, Koichi Tanno, "Proposal of the Motion Recognition system corresponding Sarface-EMG changes", FIT2007 (CD-ROM) 2007.(Japanese)