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

arXiv: https://arxiv.org/abs/2403.10565 · HTML: https://mlsanity.com/paper/2403.10565/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 20 references that are in the map.
- First posted on arXiv 14 Mar 2024.

## Builds on (most cited first, 3 of 3)

- [A Closer Look at Spatiotemporal Convolutions for Action Recognition](https://mlsanity.com/paper/1711.11248/) (2017)
- [What Makes Training Multi-Modal Classification Networks Hard?](https://mlsanity.com/paper/1905.12681/) (2019)
- [PTSD in the Wild: A Video Database for Studying Post-Traumatic Stress Disorder Recognition in Unconstrained Environments](https://mlsanity.com/paper/2209.14085/) (2022)

## Abstract (arXiv)

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.