Description:
Well-annotated, multimodal, multidimensional spontaneous emotion corpus of 140 participants.
Background:
In the last 10 years, research on facial expression analysis has shifted its focus from posed behavior to non-posed (i.e., spontaneous) behavior. This shift has increased the difficulty of such analyses, but also their ecological validity and practical utility.
Technology Overview:
We present a well-annotated, multimodal, multidimensional spontaneous emotion corpus of 140 participants. Data were acquired from a variety of facial sensors that included high-resolution 3D dynamic imaging, high-resolution 2D video, thermal (infrared) sensing, and contact physiological sensors that included electrical conductivity of the skin, respiration, blood pressure, and heart rate.
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Advantages:
- Emotion inductions highly varied.
- Facial expression annotated for both the occurrence and intensity of facial action units from 2D video by experts in the Facial Action Coding System (FACS).
- The database includes derived features from 3D, 2D, and IR (infrared) sensors, and baseline results for facial expression and action unit detection.
- Database further includes a diverse array of participants.