EMOEEG: a New Multimodal Dataset for Dynamic EEG-based Emotion Recognition with Audiovisual Elicitation
By A. C. Conneau, A. Hajlaoui, M. Chetouani, S. Essid

EMOEEG is a multimodal dataset where physiological responses to both visual and audiovisual stimuli were recorded, along with videos of the subjects, with a view to developing affective computing systems, especially automatic emotion recognition systems. The experimental setup involves various physiological sensors, especially electroencephalographic sensors.

This dataset will soon be made publicly available through this webpage.