2016 · 58 citations · 35 references
ComputingComputer ScienceData ScienceComputational LinguisticsComputer VisionNatural Language ProcessingDeception DetectionFace RecognitionFacial ExpressionMultimodal CorporaMultimodal InteractionSpoken CorporaAutomated Deception DetectionContext Of UtteranceCues To DeceptionFacial Action UnitsForensic Nonverbal AnalysisNonverbal Deception CuesSupport Vector ClassificationSupport Vector Machine Classification
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.
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Learning Word Vectors for Sentiment Analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham et al. · 2011 · 3.3K citations
Nonverbal Leakage and Clues to Deception<sup>†</sup>
Paul Ekman, Wallace V. Friesen · Psychiatry · 1969 · 1.8K citations