PTSD-MDNN : Fusion tardive de réseaux de neurones profonds multimodaux
  pour la détection du trouble de stress post-traumatique
Long Nguyen-Phuoc Renald Gaboriau Dimitri Delacroix Laurent Navarro
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.