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Volumn 2005, Issue , 2005, Pages

Utilizing bio-mechanical characteristics for user-independent gesture recognition

Author keywords

[No Author keywords available]

Indexed keywords

ASL SIGNS; BIOMECHANICAL CHARACTERISTICS; RANGE OF MOTION; USER DEPENDENCY;

EID: 33947152970     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2005.302     Document Type: Conference Paper
Times cited : (7)

References (13)
  • 1
    • 33947106014 scopus 로고    scopus 로고
    • Immersion corporation
    • Immersion corporation, www.immersion.com.
  • 4
    • 33947110381 scopus 로고    scopus 로고
    • S. M. Emran and N. Ye. Robustness of canberra metric in computer intrusion detection
    • S. M. Emran and N. Ye. Robustness of canberra metric in computer intrusion detection.
  • 8
    • 33947109906 scopus 로고    scopus 로고
    • G. B. Newby. Gesture recognition using statistical similarity
    • G. B. Newby. Gesture recognition using statistical similarity.
  • 13
    • 33947150971 scopus 로고    scopus 로고
    • J. Yang and Y. Xu. Hidden markov model for gesture recognition. Technical report, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA
    • J. Yang and Y. Xu. Hidden markov model for gesture recognition. Technical report, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.