Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

In the previous decade, breakthroughs in the central nervous system bioinformatics and
computational innovation have prompted significant developments in brain–computer …

Abstract Machine intelligence methods originated as effective tools for generating learning
representations of features directly from the data and have indicated usefulness in the area …

Deception detection is a crucial concern in our daily lives, with its effect on social
interactions. The human face is a rich source of data that offers trustworthy markers of …

The objective of this paper is to design and set up an efficient lie detector that can detect lies
in spoken sentences in an object language. Usually lie detection make use of invasive …

Despite the great impact of lies in human societies and a meager 54% human accuracy for
Deception Detection (DD), Machine Learning systems that perform automated DD are still …

Recognizing familiar faces holds great value in various fields such as medicine, criminal
investigation, and lie detection. In this paper, we designed a Complex Trial Protocol-based …

Existing work on detecting deception has mainly relied on collecting datasets evolving from
contrived user interactions. We argue that naturally occurring deception behaviours can …

Deception detection is a crucial concern in our daily lives, with its effect on social
interactions. The human face is a rich source of data that offers trustworthy markers of …

Currently, the Marine Corps and the Department of Defense do not leverage human-
machine team pairing during the collection of human intelligence. Consequently, they may …