Automatic Facial Expression Recognition System Using Emotion Avatar
This exciting technology can be applied for use in human-computer interactions, human emotional state identification, security surveillance systems, and safety monitoring systems. The University of California is actively seeking licensing partnerships for this technology. If you are interested in more information about this technology or its licensing, please contact Christopher Del Vecchio at cvecchio@ucr.edu or (951) 827-4967, and he will be more than happy to answer all your questions. UC Reference No. 2011-882
University of California (UC) researchers have developed a facial expression system able to automatically classify human facial expression in videos. This novel invention utilizes a system that detects faces from videos, registers the face images, and creates a single image representation for the whole video. The facial features are extracted to create an Emotion Avatar Image (EAI) as a single good representation for each video or image sequence for emotion recognition. Finally, a Support Vector Machine (SVM) is used for classification. By utilizing a single representation for a facial expression session, UC researchers are able to transform the whole expression recognition problem from image sequence back to static image that is amenable for real-time application.
Tech ID/UC Case 22931/2011-882-1 Related Cases 2011-882-1
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