Comparing Eye-Tracking versus EEG Features for Four-Class Emotion Classification in VR Predictive Analytics
This paper presents a novel emotion recognition approach using electroencephalography (EEG) brainwave signals augmented with eye-tracking data in virtual reality (VR) to classify 4-quadrant circumplex model of emotions. 3600 videos are used as the stimuli to evoke user’s emotions (happy, angry, bore...
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Main Authors: | Lim, Jia Zheng, James Mountstephens, Jason Teo |
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Format: | Article |
Language: | English English |
Published: |
2020
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Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/25561/1/Comparing%20Eye-Tracking%20versus%20EEG%20Features%20for%20Four-Class%20Emotion%20Classification%20in%20VR%20Predictive%20Analytics.pdf https://eprints.ums.edu.my/id/eprint/25561/2/Comparing%20Eye-Tracking%20versus%20EEG%20Features%20for%20Four-Class%20Emotion%20Classification%20in%20VR%20Predictive%20Analytics1.pdf https://eprints.ums.edu.my/id/eprint/25561/ |
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