First Attempts in Deception Detection in HRI by using Thermal and RGB-D cameras

Abstract : A key factor of a successful Human-Robot Interaction (HRI) is the robot's ability to understand the messages transmitted by a human user, especially their nonverbal and paraverbal components. Our work focuses on the robot's ability to detect if a person is deceitful or honest, based on an evaluation of their physiological state and using only noninvasive techniques, such as thermal and RGB-D imaging. In particular, we currently study and evaluate several physiological manifestations during an experiment consisting of an interrogation conducted by a robot that follows a mock-up crime, then correlate them with the truth values of the participants' answers. The first results are promising.
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https://hal.archives-ouvertes.fr/hal-01840122
Contributor : David-Octavian Iacob <>
Submitted on : Monday, July 16, 2018 - 1:15:59 PM
Last modification on : Wednesday, July 3, 2019 - 10:48:05 AM
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  • HAL Id : hal-01840122, version 1

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David-Octavian Iacob, Adriana Tapus. First Attempts in Deception Detection in HRI by using Thermal and RGB-D cameras. RO-MAN 2018, Aug 2018, Nanjing, China. ⟨hal-01840122⟩

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