The dynamic emotion recognition system based on functional connectivity of brain regions
Emotion perception similar to thinking, learning and remembering is consequent of complicated brain processes which are related to specific biological metabolism. Different human’s emotional states are recognizable by measuring and interpreting of human physiological signals. Bio-sensors possess a...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38118/ http://irep.iium.edu.my/38118/ http://irep.iium.edu.my/38118/1/The_dynamic_emotion_recognition_system_based_on_functional_connectivity_of_brain_regions.pdf |
| Summary: | Emotion perception similar to thinking, learning and remembering is consequent of complicated brain processes which are related to specific biological metabolism. Different human’s emotional states are recognizable by
measuring and interpreting of human physiological signals.
Bio-sensors possess a number of advantages against other
emotion recognition methods as they are relatively more
consistent across cultures and nations. Emotions have a
serious effect on driving. Human beings in negative and
sometimes positive emotional states can be distracted which
will increase the risk of driving. This paper presents an EEGbased emotion recognition system. Mutual information and
magnitude squared coherence are applied to investigate the
interconnectivity between 8 scalp regions. A study was
performed to collect 8 channels of EEG data from 26 healthy
right-handed subjects in experiencing 4 emotional states while exposed to audio-visual emotional stimuli. After feature extraction, 5-fold cross-validation was then performed using the KNN and SVM classifier. The results showed existence of different kind of functional brain connectivity in different emotional states. |
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