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

1 code implementation • 8 May 2020 • Cheul Young Park, Narae Cha, Soowon Kang, Auk Kim, Ahsan Habib Khandoker, Leontios Hadjileontiadis, Alice Oh, Yong Jeong, Uichin Lee

Therefore, studying emotions in the context of social interactions requires a novel dataset, and K-EmoCon is such a multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations.

EEG Emotion Recognition