A comparative study of two state-of-the-art sequence processing techniques for hand gesture recognition

Computer Vision and Image Understanding

Volumn 113, Issue 4, 2009, Pages 532-543

  Just, Agnès ^a,b   Marcel, Sébastien ^a,b  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b EPFL   (Switzerland)

Author keywords

Hand gesture recognition; Hidden Markov Models; Human computer interaction; Input output HMM

Indexed keywords

COMPUTATIONAL GRAMMARS; COMPUTERS; GESTURE RECOGNITION; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; OBJECT RECOGNITION; WAVELET TRANSFORMS;

COMPARATIVE STUDIES; EMPIRICAL COMPARISONS; EVENT MODELING; HAND GESTURE RECOGNITION; HAND GESTURES; INPUT/OUTPUT HIDDEN MARKOV MODELS; INPUT/OUTPUT HMM; MACHINE-LEARNING; OPEN SOURCES; PROCESSING TECHNIQUES; RESEARCH COMMUNITIES; TWO STATE;

HIDDEN MARKOV MODELS;

EID: 61349195010     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2008.12.001     Document Type: Article

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