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Volumn , Issue , 2008, Pages 30-39

EMG-based hand gesture recognition for realtime biosignal interfacing

Author keywords

Biosignal analysis; Electromyogram; Gesture recognition; Human computer interaction; Neural interfacing

Indexed keywords

CLASSIFIERS; FACE RECOGNITION; HUMAN COMPUTER INTERACTION; INTERFACES (COMPUTER); KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; USER INTERFACES;

EID: 57349113834     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1378773.1378777     Document Type: Conference Paper
Times cited : (183)

References (22)
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    • 85032767291 scopus 로고    scopus 로고
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    • Ebrahimi, T., Vesin, J. and Garcia, G. Brain-computer interface in multimedia communication, in IEEE Signal Processing Magazine, Volume: 20, Issue: 1, 2003, 14-24.
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    • Ebrahimi, T.1    Vesin, J.2    Garcia, G.3
  • 13
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    • Intimate interfaces in action: Assessing the usability and subtlety of emg-based motionless gestures, In: Proceedings of ACM CHI 2007
    • Costanza, E., Inverso, S. A., Allen, R. and Maes, P. Intimate interfaces in action: Assessing the usability and subtlety of emg-based motionless gestures, In: Proceedings of ACM CHI 2007, Conference on Human Factors in Computing Systems, 2007, 819-828.
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    • Jorgensen, C.1    Wheeler, K.2    Stepniewski, S.3
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    • Ciaccio, E., Dunn and S., Akay, M. Biosignal pattern recognition and interpretation systems, part 2 of 4: Methods for feature extraction and selection, in IEEE Engineering in Medicine and Biology (1993), 106-113.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.