PTSD-MDNN : Fusion tardive de r\'eseaux de neurones profonds multimodaux pour la d\'etection du trouble de stress post-traumatique

arXiv:2403.10565v1 Announce Type: cross
Abstract: 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.

abstract arxiv convolutional neural networks cs.ai cs.cv cs.sd detection eess.as eess.iv error fusion low networks neural networks q-bio.nc rate stress type videos