Statistical prediction of emotional states by physiological signals with manova and machine learning

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 26, Issue 4, 2012, Pages

  Chueh, Tung Hung ^a   Chen, Tai Been ^b   Lu, Henry Horng Shing ^c   Ju, Shan Shan ^a   Tao, Teh Ho ^a   Shaw, Jiunn Haur ^a  

^a INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

^b I SHOU UNIVERSITY   (Taiwan)

^c NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

daily effect; Emotion recognition; machine learning; MANOVA; physiological signals

Indexed keywords

BAYESIAN NETWORK LEARNING; CLASSIFICATION ACCURACY; DAILY EFFECT; EMOTION RECOGNITION; EMOTIONAL STATE; GALVANIC SKIN RESPONSE; K-NEAREST NEIGHBORS; LOGISTIC MODELS; MACHINE INTERFACES; MACHINE LEARNING METHODS; MANOVA; NAIVE BAYESIAN CLASSIFICATION; PHYSIOLOGICAL SIGNALS; SKIN TEMPERATURES; STATISTICAL PREDICTION; STATISTICAL TECHNIQUES;

BAYESIAN NETWORKS; DECISION TREES; ELECTROCARDIOGRAPHY; ELECTROPHYSIOLOGY; LEARNING SYSTEMS;

INTERFACE STATES;

EID: 84867706618     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001412500085     Document Type: Article

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