Spatiotemporal human facial expression recognition using fisher independent component analysis and Hidden Markov Model

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 2546-2549

  Lee, J J ^a   Uddin, Zia ^a   Kim, T S ^a  

^a Kyung Hee University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; FACE RECOGNITION; HIDDEN MARKOV MODELS; INDEPENDENT COMPONENT ANALYSIS;

ENHANCED INDEPENDENT COMPONENT ANALYSIS; FACIAL EXPRESSION DATA; FACIAL EXPRESSION RECOGNITION; FISHER LINEAR DISCRIMINANTS; HUMAN COMPUTER INTERFACES; HUMAN FACIAL EXPRESSIONS; LINEAR DISCRIMINANT ANALYSIS; SPATIO-TEMPORAL APPROACH;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 61849128425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649719     Document Type: Conference Paper

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