Multimodal Brain-Computer Interface Emotion Dataset (MBCI-ED)

The Multimodal Brain-Computer Interface Emotion Dataset (MBCIED) is a unique and invaluable resource that focuses on capturing the neural and ocular responses of participants as they are exposed to various emotion-eliciting videos. The EEG recordings and eye-tracking data, primarily gathered using Tobii eye-tracking glasses, are combined to provide a comprehensive, multimodal dataset that allows researchers to explore the complex interplay between emotional processing and visual attention. In this dataset, participants were asked to watch a series of videos that were designed to induce different emotional states. The high-density EEG setup (64 electrodes) captures the whole-brain response, while the Tobii eye-tracking glasses monitor participants’ gaze patterns and eye movements, providing an additional layer of information regarding their visual focus and attention during the emotion-evoking tasks.Please see: https://mbci-ed.wearlab.net