Deception detection using multimodal fusion approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11148-9.pdf
Reference97 articles.
1. Abouelenien M, Pérez-Rosas V, Mihalcea R, Burzo M (2014) Deception detection using a multimodal approach. In: Proc. of international conference on multimodal interaction, pp 58–65
2. Abouelenien M, Pérez-Rosas V, Mihalcea R, Burzo M (2016) Detecting deceptive behavior via integration of discriminative features from multiple modalities. IEEE Trans Inform Forens Secur 12(5):1042–1055
3. Adelson R (2004) Detecting deception. Monitor Psychol 35(7):70
4. Ahmad K, Mekhalfi ML, Conci N, Melgani F, Natale FD (2018) Ensemble of deep models for event recognition. ACM Trans Multimed Comput Commun Appl (TOMM) 14(2):1–20
5. Avola D, Cinque L, De Marsico M, Fagioli A, Foresti GL (2020) Lietome: Preliminary study on hand gestures for deception detection via fisher-lstm. Pattern Recogn Lett 138:455–461
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