K-EmoCon

A multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations. The dataset contains multimodal measurements, including audiovisual recordings, EEG, and peripheral physiological signals, acquired with off-the-shelf devices from 16 sessions of approximately 10-minute long paired debates on a social issue.

Source: K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations