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We note that most work to date has been conned to a relatively restricted region of this space. The last part of this chapter is devoted to a description of more specic approaches and the techniques used in recent advances. 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.). 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. Due to the covid-19 pandemic, many people are currently facing lab closures and have to work from home, trying to keep research projects going. Computer analysis of human face images includes detection of faces, identification of people, and understanding of expression. Among these three tasks, facial expression has been the least studied. 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. Facereader online is the user-friendly online facial expression analysis service that you can now incorporate in your market research. Face expression recognition and analysis the state of the art vinay bettadapura college of computing, georgia institute of technology vinaygatech.