Patent around Apple's Animated EmojisĪpple has been granted many patents that deal with their Memojis and Animojis. While this powerful technology will most likely be used for many purposes (voice-first systems, picture, and video analysis), it will also match a user's nuanced facial expressions to the animated emoji dynamically. Ekman later joined Emotient's Advisory board, where he helped to construct high-volume datasets. Ekman's research in micro-emotions, creating the FACET (Facial Action Coding System) System. They used artificial intelligence to machine learn Dr. Their work was built around the findings and research of Paul Ekman, a pioneer in the study of emotions and facial expressions.
In 2013, a team of scientists and researchers at the University of California - San Diego specializing in using machine learning for facial expression analysis began to create the technology that formed the basis of Emotient. Apple's acquisition of Emotient may be the most interesting of the group.Įmotient possessed algorithms for speedy face detection and expression analysis in real-time. The combination of these technologies, along with those from Emotient, allow for dynamically animated emojis. For example, the class CIFaceFeature uses face/gaze tracking technology, allowing the tracking of facial positions and acting upon in the developer code.
The technologies from PrimeSense, Faceshift, and RealFace can be seen in Apple's ARKit.
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