Development of person-independent emotion recognition system based on multiple physiological signals

An emotion recognition system based on processing of multiple physiological signals is presented. Our algorithm is developed and verified based on multiple subjects by presenting multimodal stimuli that were elaborated to effectively induce emotions, and thus not dependent on single specific user. T...

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Bibliographic Details
Main Authors: Kyung Hwan Kim, Seok Won Bang, Sang Ryong Kim
Format: Conference Proceeding
Language:English
Subjects:
Biomedical monitoring
Electrocardiography
Emotion recognition
Feature extraction
Heart rate variability
Laboratories
Signal analysis
Signal processing
Support vector machines
Visual databases
Online Access:Request full text
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Summary:An emotion recognition system based on processing of multiple physiological signals is presented. Our algorithm is developed and verified based on multiple subjects by presenting multimodal stimuli that were elaborated to effectively induce emotions, and thus not dependent on single specific user. The system utilizes physiological signals that can be acquired without discomfort from body surface. Support vector machine was introduced as pattern classifier to overcome the difficulty of large overlap among clusters and large variance within cluster. Correct classification ratio was 77.8 and 61.2%, for emotion recognition problem of three and four categories, respectively. Another advantage of our system is that it requires shorter signal monitoring time than previous ones, and thus better suited for practical use.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2002.1134382