“As far as we know, no other research group has used machine learning to teach a robot to make realistic facial expressions,” said Tingfan Wu, the computer science Ph.D. student from the UC San Diego Jacobs School of Engineering who presented this advance on June 6 at the IEEE International Conference on Development and Learning.
The shapes and measurements of brain structures can reveal how they function. Thus, Csernansky hopes his brain maps will reveal how the brains of humans with and without major mental disorders differ from each other and the time frame over which those differences develop.
Facial expressions do not actually involve the entire face, but rather specific sets of muscles under the face near the eyes, nose and mouth. Bhattacharya and Sohail's system measures 15 key points on the face and then compares these measures against images of identifiable facial expressions. Although there is great variety in expression across both individuals and cultures, the pair has identified seven basic expressions that seem to be relatively universal.Source:www.speranta.info