Emotion recognition based on physiological changes in music listening

Little attention has been paid so far to physiological signals for emotion recognition compared to audiovisual emotion channels such as facial expression or speech. This paper investigates the potential of physiological signals as reliable channels for emotion recognition. All essential stages of an...

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Vydáno v:	IEEE transactions on pattern analysis and machine intelligence Ročník 30; číslo 12; s. 2067 - 2083
Hlavní autoři:	Jonghwa Kim, Andre, Elisabeth
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Los Alamitos, CA IEEE 01.12.2008 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptation, Physiological - physiology Algorithms and processing Applied sciences Arousal Arousal - physiology Artificial Intelligence Auditory Perception - physiology Biosensors Channels Classification Classifier design and evaluation Computer science; control theory; systems Computer systems and distributed systems. User interface Conductivity measurement Discriminant analysis Disk recording Emotion recognition Emotions Emotions - physiology Entropy Exact sciences and technology Feature evaluation and selection Frequency Human-centered computing Humans Intelligence Interaction styles Laboratories Methodologies and techniques Monitoring, Physiologic - methods Music Pattern analysis Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Recognition Robotics Signal analysis Signal processing Skin Software Speech Studies synthesis Theory and methods User/Machine Systems synthesis and processing Human-centered computing Feature evaluation and selection User/Machine Systems Theory and methods Classifier design and evaluation Robotics Signal processing Methodologies and techniques Interaction styles Signal analysis Pattern analysis Autonomous system Time frequency domain method Man machine system affective computing respiration Modeling electromyogram Audiovisual Induction method electrocardiogram User interface Musical acoustics Classification Facies Electrocardiography Audiovisual equipment Time analysis Pattern extraction physiological signal Emotion recognition Discriminant analysis autonomic nervous system skin conductance biosignal Frequency domain method Emotion emotionality valence human-computer interaction Multiscale method Biosensor Music musical emotion Skin Automatic recognition Artificial intelligence Multiclass Facial expression arousal
ISSN:	0162-8828, 2160-9292, 1939-3539
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