K-EmoCon
Introduced by Park et al. in K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
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 conversationsPapers
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