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Bibliographic Details
Main Authors:	Nguyen-Phuoc, Long, Gaboriau, Renald, Delacroix, Dimitri, Navarro, Laurent
Format:	Preprint
Published:	2024
Subjects:	Audio and Speech Processing Artificial Intelligence Computer Vision and Pattern Recognition Sound Image and Video Processing Neurons and Cognition
Online Access:	https://arxiv.org/abs/2403.10565
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Table of Contents:

In order to provide a more objective and quicker way to diagnose post-traumatic stress disorder (PTSD), we present PTSD-MDNN which merges two unimodal convolutional neural networks and which gives low detection error rate. By taking only videos and audios as inputs, the model could be used in the configuration of teleconsultation sessions, in the optimization of patient journeys or for human-robot interaction.