A review on the computational methods for emotional state estimation from the human EEG

Computational and Mathematical Methods in Medicine

Volumn 2013, Issue , 2013, Pages

  Kim, Min Ki ^a   Kim, Miyoung ^b   Oh, Eunmi ^b   Kim, Sung Phil ^a  

^a Korea University   (South Korea)

^b SAMSUNG Electronics   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTATIONAL METHODS; ELECTROPHYSIOLOGY; HUMAN COMPUTER INTERACTION; INFERENCE ENGINES; STATE ESTIMATION;

AFFECTIVE COMPUTING; BEHAVIORAL RESPONSE; EMOTION RECOGNITION; EMOTIONAL STATE; EXTRACT INFORMATIONS; HUMAN USERS; MULTICHANNEL EEG; SEQUENTIAL BAYESIAN INFERENCE;

ELECTROENCEPHALOGRAPHY;

AUTONOMIC NERVOUS SYSTEM; BAYESIAN LEARNING; BEHAVIOR; CALCULATION; COMPUTER SYSTEM; CONTROLLED STUDY; COST; ELECTROENCEPHALOGRAPHY; EMOTION; HUMAN COMPUTER INTERACTION; NEUROPHYSIOLOGY; NOISE REDUCTION; REVIEW; SELF REPORT; SIGNAL NOISE RATIO; SPECTRAL SENSITIVITY; STARTLE REFLEX; AFFECT; ALGORITHM; BIOENGINEERING; BIOLOGICAL MODEL; BIOLOGY; COMPUTER INTERFACE; HUMAN; PHYSIOLOGY; PSYCHOLOGICAL MODEL; SIGNAL PROCESSING; STATISTICS; STATISTICS AND NUMERICAL DATA;

AFFECT; ALGORITHMS; COMPUTATIONAL BIOLOGY; ELECTROENCEPHALOGRAPHY; EMOTIONS; HUMAN ENGINEERING; HUMANS; MODELS, NEUROLOGICAL; MODELS, PSYCHOLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; USER-COMPUTER INTERFACE;

EID: 84876572036     PISSN: 1748670X     EISSN: 17486718     Source Type: Journal    
DOI: 10.1155/2013/573734     Document Type: Review

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