mlsanityData to 7 Oct 2026

The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection

arXiv 1903.04484 ↗First posted 11 Mar 2019cs.CLcited by 7

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Abstract (arXiv)

We propose a data-driven method for automatic deception detection in real-life trial data using visual and verbal cues. Using OpenFace with facial action unit recognition, we analyze the movement of facial features of the witness when posed with questions and the acoustic patterns using OpenSmile. We then perform a lexical analysis on the spoken words, emphasizing the use of pauses and utterance breaks, feeding that to a Support Vector Machine to test deceit or truth prediction. We then try out a method to incorporate utterance-based fusion of visual and lexical analysis, using string based matching.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Mar 2019.

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Citing papers per year: 2021: 4; 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 1.

7 papers.