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 …
T Nagale, A Khandare - International Conference on Intelligent Computing …, 2023 - Springer
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 …
C Bai, M Bolonkin, V Regunath… - Proceedings of the 2022 …, 2022 - dl.acm.org
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” …
Studies on human-machine interaction system show positive results on system development accuracy. However, there are problems, especially using certain input modalities such as …