PTSD-MDNN : Fusion tardive de r\'eseaux de neurones profonds multimodaux pour la d\'etection du trouble de stress post-traumatique
<|reference_start|>PTSD-MDNN : Fusion tardive de r\'eseaux de neurones profonds multimodaux pour la d\'etection du trouble de stress post-traumatique: 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.<|reference_end|>
@article{nguyen-phuoc2024ptsd-mdnn,
    title={PTSD-MDNN : Fusion tardive de r\'eseaux de neurones profonds multimodaux
  pour la d\'etection du trouble de stress post-traumatique},
    author={Long Nguyen-Phuoc, Renald Gaboriau, Dimitri Delacroix, Laurent Navarro},
    journal={arXiv preprint arXiv:2403.10565},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.10565},
    primaryClass={eess.AS cs.AI cs.CV cs.SD eess.IV q-bio.NC}
}