Dive into the research topics of 'Visual cues-based deception detection using two-class neural network'. Together they form a unique fingerprint. Sort by ...

The main results of the work are: determination of the optimal structure of the neural network, the developed algorithm for preparing training and test samples, ...

This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection. We use a dataset built by interviewing ...

Mar 19, 2010 · I think that biases are almost always helpful. In effect, a bias value allows you to shift the activation function to the left or right, ...

In this study, an experiment was conducted with the participation of 62 subjects. Facial muscle variations of lie and truth responses of the subjects were ...

Feb 9, 2023 · While facial expressions are universal, gestures are culture-specific [2]. Some visual cues related to gestures lack more experimentation for ...

Researchers have delved into identifying deceptive cues without invasive methods. Crockett et al. (2020) used hierarchical neural networks to detect dishonesty ...

The results indicate the feasibility of using neural networks for deception detection even in the presence of limited amounts of data and propose a fused ...

First, we study the deception detection in videos. We propose an automated approach for deception detection in real-life trial videos. Mining the subtle cue of ...

Several psychological studies and machine-based models have been reporting the use of eye interaction, gaze and facial movements as important clues to deception ...