  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.
