This work proposes the preliminary results of a system to recognize deception from facial micro-expressions. The adopted method starts from facial landmarks to analyze the micro-dynamics underlying the facial modifications. The procedure is repeated both while answering neutral questions (entailing no reason to lie) and when answering questions whose responses may cause harm or embarrassment, at least. The preliminary results invite us to continue the research of suitable features to tackle the problem of deception detection.
Your face may say the truth when you lie / De Marsico, M.; Dionisi, G.. - (2022), pp. 1-3. (Intervento presentato al convegno 16th International Conference on Advanced Visual Interfaces, AVI 2022 tenutosi a ita) [10.1145/3531073.3534486].
Your face may say the truth when you lie
De Marsico M.;Dionisi G.
2022
Abstract
This work proposes the preliminary results of a system to recognize deception from facial micro-expressions. The adopted method starts from facial landmarks to analyze the micro-dynamics underlying the facial modifications. The procedure is repeated both while answering neutral questions (entailing no reason to lie) and when answering questions whose responses may cause harm or embarrassment, at least. The preliminary results invite us to continue the research of suitable features to tackle the problem of deception detection.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
