Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks

Deception detection is gaining increasing interest due to ethical and security concerns. This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection. We use a dataset built by interviewing 104 subjects about two topics, with one truthful and...

Full description

Bibliographic Details

Published in:	arXiv.org
Main Authors:	Li, Panfeng, Abouelenien, Mohamed, Mihalcea, Rada, Ding, Zhicheng, Yang, Qikai, Zhou, Yiming
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 12.11.2024
Subjects:	Artificial neural networks Data transmission Linguistics
ISSN:	2331-8422
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!