EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding

Name: EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
Creator: Quanying Liu; Zongsheng Li; Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing, 100084, China; Mingming Zhang; Qingzhu Zhang; Xuyang Chen; Yihan Li; Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Sitian Wang; Xinke Shen
Published: 2024-09-27T00:00:00+08:00

科学数据银行2025-12-01 更新2026-04-23 收录

情绪脑电识别

跨情境情感计算

数据链接：

https://www.scidb.cn/detail?dataSetId=9b182864c9604255a0433d1edae88f0b 数据链接链接失效反馈

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资源简介：

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.

提供机构：

Quanying Liu; Zongsheng Li; Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing, 100084, China; Mingming Zhang; Qingzhu Zhang; Xuyang Chen; Yihan Li; Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; Sitian Wang; Xinke Shen

创建时间：

2024-09-27