Research progress on emotion recognition based on physiological signals / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 229-234, 2015.
Article
in Chinese
| WPRIM
| ID: wpr-266695
ABSTRACT
Emotion recognition will be prosperious in multifarious applications, like distance education, healthcare, and human-computer interactions, etc. Emotions can be recognized from the behavior signals such as speech, facial expressions, gestures or the physiological signals such as electroencephalogram and electrocardiogram. Contrast to other methods, the physiological signals based emotion recognition can achieve more objective and effective results because it is almost impossible to be disguised. This paper introduces recent advancements in emotion research using physiological signals, specified to its emotion model, elicitation stimuli, feature extraction and classification methods. Finally the paper also discusses some research challenges and future developments.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Physiology
/
Electrocardiography
/
Electroencephalography
/
Emotions
/
Facial Expression
/
Gestures
/
Models, Theoretical
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2015
Type:
Article
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