Four-channel biosignal analysis and feature extraction for automatic emotion recognition

Communications in Computer and Information Science

Volumn 25 CCIS, Issue , 2008, Pages 265-277

  Kim, Jonghwa ^a   André, Elisabeth ^a  

^a UNIVERSITY OF AUGSBURG   (Germany)

Author keywords

affective computing; arousal; autonomic nervous system; electrocardiogram; electromyogram; Emotion recognition; feature extraction; human computer interaction; musical emotion; pattern recognition; physiological measures; respiration; skin conductance; valence

Indexed keywords

AFFECTIVE COMPUTING; AROUSAL; AUTONOMIC NERVOUS SYSTEM; ELECTROCARDIOGRAM; ELECTROMYOGRAM; EMOTION RECOGNITION; MUSICAL EMOTION; PHYSIOLOGICAL MEASURES; RESPIRATION; SKIN CONDUCTANCE; VALENCE; ELECTROMYO GRAMS;

BIOMEDICAL ENGINEERING; BIOSENSORS; CLASSIFICATION (OF INFORMATION); ENTROPY; HUMAN COMPUTER INTERACTION; KNOWLEDGE MANAGEMENT; PATTERN RECOGNITION SYSTEMS; PHYSIOLOGY; SPEECH RECOGNITION; ELECTROCARDIOGRAPHY; FEATURE EXTRACTION; PATTERN RECOGNITION;

FEATURE EXTRACTION; PHYSIOLOGY;

EID: 78049403323     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-92219-3_20     Document Type: Conference Paper

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