Diagnosing PTSD in children is often hindered by limited communication and emotional awareness, but new research is using AI to bridge that gap.

With more than 100 minutes of video per child and each video containing roughly 185,000 frames, Canavan's AI models extracted a range of subtle facial muscle movements linked to emotional expression .

Diagnosing post-traumatic stress disorder in children can be notoriously difficult. Many, especially those with limited ...

The study, published in Pattern Recognition Letters, is the first of its kind to incorporate context-aware PTSD ...

This research tackles the rising significance of Facial Emotion Recognition (FER) for personalized user experiences. Employing transfer learning, the proposed system pinpoints user emotions from.

A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network ...