期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：7
出版社：S&S Publications
摘要：The Concern treatment of individuals during interviews and interrogation have stimulated efforts to develop"non-intrusive" technologies for rapidly assessing the credibility of statements by individuals in a variety of observantenvironments. Methods or processes that have the potential to precisely focus analytical resources will advance operationalexcellence and improve analytical capabilities. Facial expressions have the capability to commune emotion and regulateinterpersonal behavior. Over the past 30 years, scientists have developed human-observer based methods that can be used toclassify and correlate facial expressions with human emotion. However, these methods have proven to be labor intensive,qualitative, and difficult to standardize. The Facial Action Coding System (FACS) is the most widely used and validatedmethod for measuring and relating facial behaviors. The Automated Facial Expression Recognition System (AFERS)automates the manual practice of FACS, leveraging the research and technology behind the CMU Automated Facial ImageAnalysis System (AFA) system. This handy, near real-time system will detect the seven universal expressions of emotion(figure 1), providing investigators with indicators of the presence of deception during the interview process. In addition, thesystem will include features such as full video maintain, snapshot generation, and case management utilities, enabling users tore-evaluate interviews in detail at a later date
