Real-time hand postures recognition using low computational complexity artificial neural networks and support vector machines

2008 3rd International Symposium on Communications, Control, and Signal Processing, ISCCSP 2008

Volumn , Issue , 2008, Pages 1530-1535

  Bragatto, Ticiano A C ^a   Ruas, Gabriel S I ^a   Lamar, Marcus V ^a  

^a UNIVERSITY OF BRASILIA   (Brazil)

Author keywords

Artificial neural networks; Hand posture recognition; Support vector machines

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BINARY TREES; CHLORINE COMPOUNDS; COMPUTER NETWORKS; DATA STRUCTURES; ELECTRIC FAULT LOCATION; FILE ORGANIZATION; IMAGE RETRIEVAL; LEARNING SYSTEMS; LIGHTNING; MATHEMATICAL TECHNIQUES; PIECEWISE LINEAR TECHNIQUES; PROBABILITY; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; VECTORS;

ARTIFICIAL NEURAL NETWORKS; HAND POSTURE RECOGNITION; INTERNATIONAL SYMPOSIUM;

NEURAL NETWORKS;

EID: 50649097426     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCCSP.2008.4537470     Document Type: Conference Paper

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