Real-time Automatic Deceit Detection from Involuntary Facial Expressions

Being the most broadly used tool for deceit measurement, the polygraph is a limited method as it suffers from human operator subjectivity and the fact that target subjects are aware of the measurement, which invites the opportunity to alter their behavior or plan counter-measures in advance. The approach presented in this paper attempts to circumvent these problems by unobtrusively and automatically measuring several prior identified Deceit Indicators (DIs) based upon involuntary, so-called reliable facial expressions through computer vision analysis of image sequences in real time. Reliable expressions are expressions said by the psychology community to be impossible for a significant percentage of the population to convincingly simulate, without feeling a true inner felt emotion. The strategy is to detect the difference between those expressions which arise from internal emotion, implying verity, and those expressions which are simulated, implying deceit. First, a group of Facial Ac...

• Type: Conference
• Year: 2007
• Where: CVPR
• Authors: Zhi Zhang, Vartika Singh, Thomas E. Slowe, Sergey Tulyakov, Venugopal Govindaraju
• Keywords: Computer Vision, CVPR 2007, Deceit Detection, Deceit Measurement, Prior Identified Deceit, Reliable Expressions, Reliable Facial Expressions