FACE(精细粒度情感计算大规模脑电图数据集)是一个面向情感计算的大规模精细粒度脑电图(EEG)数据集,专注于捕捉情绪状态的细微变化。该数据集包含123名参与者在观看28段情绪诱发视频时产生的9种不同情绪类别的EEG数据。通过视频观看的情绪诱发任务确保参与者能深度体验每种情绪。
xianweichengxiang模态 | other |
任务类型 | other |
解剖结构 | 大脑 |
解剖区域 | 全脑 |
类别数 | 9 |
数据量 | 123名被试 |
文件格式 | .mat, .csv, .bdf |
FACED_Dataset
│
├── Dataset_description.md
│ └── Content of the dataset
│
├── Task_event.xlsx
│ └── Event information during the experiment
│
├── Electrodes_Location.xlsx
│ └── Details of electrode locations
│
├── Stimuli_info.csv
│ └── Details of the video clips
│
├── DataStructureOfBehaviouralData.xlsx
│ └── Structure of the behavioural data
│
├── Processed_Data
│ ├── subXXX/Data.xlsx
│ │ └── Self-reporting ratings and the performance of the inter-block arithmetic task
│ ├── Processed_EEG_Data
│ │ ├── subXXX/EEG_features/EEG_Data_3D_matrix.pkl
│ │ │ └── 3-dimensional matrix of VideoNum*TrialNum*EEGNum
│ │ ├── subXXX/EEG_Features/DE/EEG_Subjects.pkl
│ │ │ └── 4-dimensional matrix of VideoNum*TrialNum*EEGNum*FreqBand
│ │ ├── subXXX/EEG_Features/PSD/EEG_Subjects.pkl
│ │ │ └── PSD feature 4-dimensional matrix of VideoNum*TrialNum*EEGNum*FreqBand
│
└── README.md
└── Usage notes for data and codes
统计类型 | 间距 (mm) | 尺寸 |
---|---|---|
最小值 | - |
- |
中位值 | - |
- |
最大值 | - |
- |
@article{chen2023large,
title={A large finer-grained affective computing EEG dataset},
author={Chen, Jingjing and Wang, Xiaobin and Huang, Chen and Hu, Xin and Shen, Xinke and Zhang, Dan},
journal={Scientific Data},
volume={10},
number={1},
pages={740},
year={2023},
publisher={Nature Publishing Group UK London}
}