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We present the Deception Detection and Physiological Monitoring (DDPM)dataset and initial baseline results on this dataset. Our application contextis an interview scenario in which the interviewee attempts to deceive theinterviewer on selected responses. The interviewee is recorded in RGB,near-infrared, and long-wave infrared, along with cardiac pulse, bloodoxygenation, and audio. After collection, data were annotated forinterviewer/interviewee, curated, ground-truthed, and organized into train /test parts for a set of canonical deception detection experiments. Baselineexperiments found random accuracy for micro-expressions as an indicator ofdeception, but that saccades can give a statistically significant response. Wealso estimated subject heart rates from face videos (remotely) with a meanabsolute error as low as 3.16 bpm. The database contains almost 13 hours ofrecordings of 70 subjects, and over 8 million visible-light, near-infrared, andthermal video frames, along with appropriate meta, audio and pulse oximeterdata. To our knowledge, this is the only collection offering recordings of fivemodalities in an interview scenario that can be used in both deceptiondetection and remote photoplethysmography research.

Deception Detection and Remote Physiological Monitoring: A Dataset and Baseline Experimental Results