Evaluation of Lie Detection Techniques: Overview

Recently, the need to separate truth from lies has motivated lie detection as a constant human endeavor; therefore there is a need to develop lie detection techniques and focus on the new area of lie detection utilizing facial expression.Human faces are a powerful repository of emotions in the complicated interaction between verbal and non-verbal clues that characterize human communication.From this micro-expression, the transitory emotion discloses the more prominent indicators that precede deceitful behavior, which makes the tapestry rich in information that can be harnessed to detect a lie.Historically, the development of deceiving lies passed through many developments to find the best way to get high performance, but the development of artificial intelligence and face recognition has further altered the landscape of lie detection.In this paper, the reason for lie detection is revealed with the techniques used to detect lies.The paper aims to present and survey the techniques with comparison used to detect lies, which will highlight the importance of this topic and urge researchers to develop current techniques or find other related techniques that serve the issue.The presentation of the techniques in this research revealed that the lie detection technique using facial expressions is considered the best technique to achieve the detection of lies.Facial expression is the most efficient because it does not require physical contact and because they are visual of real internal feelings and not voluntary movements, and computer vision and artificial intelligence have had an effective role in supporting this method and exploiting it optimally.Finally, the paper shows the limitations and achievements that the researchers found in their research to help researchers in this field.