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Voting-based Multimodal Automatic Deception Detection
March 18, 2024, 4:42 a.m. | Lana Touma, Mohammad Al Horani, Manar Tailouni, Anas Dahabiah, Khloud Al Jallad
cs.LG updates on arXiv.org arxiv.org
Abstract: Automatic Deception Detection has been a hot research topic for a long time, using machine learning and deep learning to automatically detect deception, brings new light to this old field. In this paper, we proposed a voting-based method for automatic deception detection from videos using audio, visual and lexical features. Experiments were done on two datasets, the Real-life trial dataset by Michigan University and the Miami University deception detection dataset. Video samples were split into …
abstract arxiv audio cs.cl cs.cv cs.hc cs.lg deception deep learning detection features hot light machine machine learning multimodal paper research type videos visual voting
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