Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Several studies applying Machine Learning to deception detection have been published in
the last decade. A rich and complex set of settings, approaches, theories, and results is now …

In the last decades, research has claimed facial micro-expressions are a reliable means to
detect deception. However, experimental results showed that trained and naïve human …

We present a system for covert automated deception detection using information available in
a video. We study the importance of different modalities like vision, audio and text for this …

Hearings of witnesses and defendants play a crucial role when reaching court trial
decisions. Given the high-stakes nature of trial outcomes, develo** computational models …

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 …