Deception detection is a pervasive issue in security. It has been widely studied using
traditional modalities, such as video, audio and transcripts; however, there has been a lack …

We present the Deception Detection and Physiological Monitoring (DDPM) dataset and
initial baseline results on this dataset. Our application context is an interview scenario in …

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 …

We present the Deception Detection and Physiological Monitoring (DDPM) dataset and
initial baseline results of deception detection on this dataset. Our application context is an …

Electroencephalogram (EEG) plays a crucial role in the study of working memory, which
involves the complex coordination of brain regions. In this research, we designed and …

With the increase in crime, the issue of deception identification has become more significant.
The main task at hand is to separate the innocent and culpable groups in the EEG data for …

In this paper, an application of Adaptive Network Fuzzy Interference System on EEG-SSVEP
classification for brain-controlled wheelchair is presented. The used of steady-state …

Politicians lie. Frequently. Depending on the country they are from, politicians may lie more
frequently on some topics than others. We develop the novel concept of a tripartite “VAT” …

随着多学科的发展ꎬ 脑-机接口(brain-computer interfaceꎬBCI) 技术取得了飞速发展ꎬ
已成为脑科学, 神经医学, 人工智能等领域的研究热点ꎮ 多项研究表明ꎬ 多模态混合BCI (hybrid …

Studies on human-machine interaction system show positive results on system development
accuracy. However, there are problems, especially using certain input modalities such as …