一个fMRI数据集作为对大规模短视频自然动态面部表情视频的响应
Panpan Chen1, Chi Zhang1, Bao Li1
1Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, 450000, China.
Scientific data
|November 20, 2024
概括
本研究介绍了自然面部表情数据集 (NFED),这是动态面部表情的大规模fMRI数据集. NFED能够研究大脑如何处理自然的情感视觉刺激.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 心理学 心理学 心理学
背景情况:
- 面部表情是情感交流的关键.
- 以前对面部表情处理的研究主要使用受控实验室刺激.
- 在理解大脑对自然主义动态面部表情的反应方面存在差距.
研究的目的:
- 为了引入自然面部表情数据集 (NFED).
- 为研究处理自然动态面部表情的神经基础提供fMRI数据.
- 为了促进大量自然面部表情视频的视觉处理研究.
主要方法:
- 开发了自然面部表情数据集 (NFED).
- 收集了来自参与者观看1320个短 (3秒) 自然面部表情视频片段的fMRI数据.
- 带有情感,性别和种族标签的注释视频,以及元数据.
主要成果:
- 在参与者内部和参与者之间验证了NFED的高质量.
- 证明了数据集捕捉时间和空间刺激特征的能力.
- 建立了NFED作为神经成像研究的宝贵资源.
结论:
- NFED解决了对大规模自然主义面部表情数据的需求.
- 该数据集支持对大脑对动态情绪线索的视觉处理的调查.
- NFED将推动我们对现实世界面部表情感知的理解.
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