Hand gesture detection and recognition using principal component analysis

IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Volumn , Issue , 2011, Pages 11-16

  Dardas, Nasser H ^a   Petriu, Emil M ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

hand gesture; hand posture; PCA

Indexed keywords

BARE-HAND; DIFFERENT SCALE; EUCLIDEAN DISTANCE; HAND GESTURE; HAND POSTURE; LIGHTING CONDITIONS; PCA; PRINCIPLE COMPONENTS ANALYSIS; SKIN DETECTION; TEST WEIGHT; TRAINING IMAGE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EIGENVALUES AND EIGENFUNCTIONS; FACE RECOGNITION; GESTURE RECOGNITION; INTERACTIVE COMPUTER SYSTEMS; MEASUREMENTS; REAL TIME SYSTEMS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 82955161570     PISSN: 21591547     EISSN: 21591555     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2011.6059935     Document Type: Conference Paper

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