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Found 2 papers, 1 papers with code
MDEAW: A Multimodal Dataset for Emotion Analysis through EDA and PPG signals from wireless wearable low-cost off-the-shelf Devices
We present MDEAW, a multimodal database consisting of Electrodermal Activity (EDA) and Photoplethysmography (PPG) signals recorded during the exams for the course taught by the teacher at Eurecat Academy, Sabadell, Barcelona in order to elicit the emotional reactions to the students in a classroom scenario.
Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts
The proposed RECS is capable of classifying emotions in real-time by training the model in an online fashion using an EEG signal stream.
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