2026-10-14T08:32:56Z https://www.scidb.cn/oai

10.57760/sciencedb.14025 2025-12-01T15:43:59Z

2025-12-01 EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding doi:10.57760/sciencedb.14025 en We present the Multi-Context Emotional EEG (EmoEEG-MC) dataset, featuring 64-channel EEG and peripheral physiological data from 60 participants exposed to two distinct contexts: video-induced and imagery-induced emotions. These contexts evoke seven distinct emotional categories: joy, inspiration, tenderness, fear, disgust, sadness, and neutral emotion. The emotional experience of a specific emotion category was validated through subjective reports. The EmoEEG-MC dataset serves as a foundational resource for advancing cross-context emotion recognition and enhancing the real-world application of emotion decoding methods. Affective computing; multiple-context; EEG Xin Xu Xinke Shen Xuyang Chen Qingzhu Zhang Sitian Wang Yihan Li Zongsheng Li Dan Zhang Mingming Zhang Quanying Liu PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank