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1 what is facial expression analysis? Facial expressions are the facial changes in response to a persons internal emotional states, intentions, or social communications. Facial expression analysis has been an active research topic for behavioral scientists since the work of darwin in 1872 18, 22. Facereader is the most robust automated system for the recognition of a number of specific properties in facial images, including the six basic or universal expressions happy, sad, angry, surprised, scared, and disgusted. Paul ekman described these emotional categories as the basic or universal emotions. Facial coding is the process of measuring human emotions through facial expressions. With facial expression analysis you can test the impact of any content, product or service that is supposed to elicit emotional arousal and facial responses. Facial expression analysis 5 there are four sources of evidence that comprise these studies. In the first, ekman and his colleagues (ekman, sorenson, & friesen, 1969) showed pictures of many different facial expressions to observers in different cultures, who were asked to judge which emotion was portrayed in the face.   in this talk, ill talk automatic facial expression analysis including neutral face detection, action unit recognition and basic facial expression recognition. 1 this research has been funded by the firb project rbfr12vhr7 interpreting emotions a computational tool integrating facial expressions and biosignals based on shape analysis and bayesian networks (pi, dr. Brombin) and by a narsad young investigator grant from the brain & behavior research foundation, grant number 23553, entitled integrating multimodal affective information for. Ulrich neumann, imsc and computer science other faculty prof. Skip rizzo, imsc and gerontology post doc(s) reyes enciso, john p. Lewis graduate students douglas fidaleo, junyong noh undergraduate students albin cheenath industrial partner(s) ncr 2. Automatic facial expression analysis has attracted great interest due to potential applications in various domains, such as pain analysis in health care, drowsiness detection in automotive industry, facial action synthesis in animation industry, audience analysis in marketing, and novel humancomputer interfaces in social robotics (gunes and schuller, 2013 vinciarelli et al.).

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