| Abstract： |
This talk will introduce our recent work on affective brain-computer interface (aBCI) and its application to objective assessment of mood disorder. Specifically, we will introduce basic principles of psychology and neuroscience for aBCI, oil paintings as emotional stimuli, a multimodal aBCI framework of combining EEG signals and eye movement signals, a plug-and-play domain adaptation for cross-subject EEG-based emotion recognition, a large brain model for learning generic representations with tremendous EEG data, the similarities and differences among Chinese, German, and French individuals in emotion recognition with EEG and eye movements from aBCI perspective, and preliminary results on objective assessment of depression with oil paintings as stimuli from eye movement data.
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