S35 Video -

Figshare2022-05-17 更新2026-04-28 收录

面部动作编码

微表情分析

数据链接：

https://figshare.com/articles/dataset/S35_Video_-/19782160 数据链接链接失效反馈

官方服务：

资源简介：

a and b. AU27—Mouth Stretch in the individual at the top of the video, in normal speed and in slow motion, respectively. (ZIP)

创建时间：

2022-05-17

MMME

微表情分析

多模态信号

MMME是一个新颖的自发多模态微表情数据集，首次实现了面部动作信号（微表情）、中枢神经系统信号（EEG）和外周生理信号（PPG、RSP、SKT、EDA和ECG）的同步采集。该数据集包含634个微表情、2,841个宏表情和2,890个同步多模态生理信号试验，为研究微表情神经机制和进行多模态融合分析提供了坚实的基础。

github2025-05-31 更新1210

Data_Sheet_1_Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions.docx

对话情感识别

微表情分析

Nonverbal emotion recognition accuracy (ERA) is a central feature of successful communication and interaction, and is of importance for many professions. We developed and evaluated two ERA training pr

NIAID Data Ecosystem20

The 19 action units of the coding scheme and the definition of the cry-face and laughter-face gestalts based on this scheme indicated by tickmarks.

面部动作编码

表情模式识别

Note: For both cry-face and laughter gestalts, either AU25 orAU27 can occur, but not both together.

Figshare2015-12-02 更新10

S13 Video -

面部动作编码

微表情分析

a and b. AU47—Half Blink in normal speed and in slow motion, respectively. (ZIP)

Figshare2022-05-17 更新70

micro-expression-dataset.xlsx

微表情分析

面部动作单元

The data represent the intensity of Facial Action Units (coded following the FACS model) when a set of 44 participants attempted at mimicking seven facial expressions (namely Happiness, Anger, Contemp

DataCite Commons2025-11-20 更新10

S35 Video -

资源简介：

相关数据集