An Expert System for Facial Micro-Expressions Based Lie Detection

For the purpose of assisting authorities like the police and attorneys in court, lie detection in humans is an important topic of research. Although there has been a lot of research in this area, the polygraph remains the most often utilized method. The development of technology has made it possible to record minute facial expressions and nonverbal clues that are difficult to see with the unaided eye. In this study, we seek to identify specific facial cues that could aid in the development of a reliable and effective lie-detection project. To choose the most effective strategy, we will evaluate our facial expression and micro-expression performance metrics. The results are Based on the Duchenne smile and the connection between lying and an increase in blink rate. This paper explores the applications of OpenCV to lie detection.