Comparing two emotion models for deriving affective states from physiological data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4868 LNCS, Issue , 2008, Pages 35-50

  Lichtenstein, Antje ^a   Oehme, Astrid ^b   Kupschick, Stefan ^b   Jürgensohn, Thomas ^b  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b HFC Human Factors Consult GmbH   (Germany)

Author keywords

Ambient intelligence; Basic emotions; Dimensional model of affect; Emotion classification; Psychophysiology

Indexed keywords

ARTIFICIAL INTELLIGENCE; HUMAN COMPUTER INTERACTION; HUMAN ENGINEERING; INFORMATION MANAGEMENT; KNOWLEDGE MANAGEMENT; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOBILE DEVICES; TELECOMMUNICATION EQUIPMENT;

AFFECTIVE STATES; AMBIENT INTELLIGENCE; AMBIENT INTELLIGENT; BASIC EMOTIONS; DIMENSIONAL MODEL; DIMENSIONAL MODEL OF AFFECT; EMOTION CLASSIFICATION; EMOTION MODELS; EMOTIONAL STATES; EUROPEAN; EXPERIMENTAL DESIGN; PHYSIOLOGICAL DATA; PHYSIOLOGICAL PARAMETERS; PSYCHOPHYSIOLOGY; RECOGNITION RATES; SUPERVISED MACHINE LEARNING; VIDEO FILMS;

PHYSIOLOGICAL MODELS;

EID: 51849136494     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85099-1_4     Document Type: Conference Paper

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