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Volumn , Issue , 2010, Pages 856-860

Evaluation of EMG feature extraction for hand movement recognition based on euclidean distance and standard deviation

Author keywords

[No Author keywords available]

Indexed keywords

ABSOLUTE VALUES; CLASSIFICATION RESULTS; EMG SIGNAL; EUCLIDEAN DISTANCE; FEATURE EVALUATION; FEATURE VECTORS; HAND MOVEMENT; IMPLEMENTATION AND COMPUTATION; ROOT MEAN SQUARE; STANDARD DEVIATION; STATISTICAL CRITERION; WAVE FORMS;

EID: 77954929731     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (135)

References (12)
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  • 3
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  • 5
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    • May
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    • Boostani, R.1    Moradi, M.H.2
  • 6
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  • 7
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    • EMG pattern recognition based on artificial intelligence techniques
    • December
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    • Park, S.H.1    Lee, S.P.2
  • 8
    • 0344444821 scopus 로고    scopus 로고
    • Automatic EMG feature evaluation for controlling a prosthetic hand using a supervised feature mining method: An intelligent approach
    • H.-P. Huang, Y.-H. Liu, and C.-S. Wong, "Automatic EMG feature evaluation for controlling a prosthetic hand using a supervised feature mining method: an intelligent approach," in Proc. IEEE Int. Conf. Robotics and Automation, 2003, pp. 220-225.
    • (2003) Proc. IEEE Int. Conf. Robotics and Automation , pp. 220-225
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  • 9
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    • A novel feature extraction for robust EMG pattern recognition
    • December
    • A. Phinyomark, C. Limsakul, and P. Phukpattaranont, "A novel feature extraction for robust EMG pattern recognition," Journal of Computing, vol. 1, issue 1, pp. 71-80, December 2009.
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  • 10
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.