The growth of machine learning and artificial intelligence has made it possible for automatic
lie detection systems to emerge. These can be based on a variety of cues, such as facial …

Automated systems that detect deception in high-stakes situations can enhance societal well-
being across medical, social work, and legal domains. Existing models for detecting high …

The combination of gestures, intonations, and textual content plays a key role in argument
delivery. However, the current literature mostly considers textual content while assessing the …

Automatic deception detection is a challenging issue since human behaviors are too
complex to establish any standard behavioral signs that would explicitly indicate that a …

Detecting deception in videos has been a challenging task, especially in real world
situations. In this study, we extracted the facial action units from the micro-expression, and …

Humans often use facial expressions along with words in order to communicate effectively.
There has been extensive study of how we can classify facial emotion with computer vision …

Imagine an app on your phone or computer that can tell if you are being dishonest, just by
processing effective features of your facial expressions, body movements, and voice. People …

Micro-expressions have gained increasing interest in the last few years, both in scientific
and professional contexts. Theoretically, their emergence suggests ongoing concealments …