Welcome to PSYMed!

This is the official code repository of our undergraduate thesis, PSYMed: Detecting Panic Attack Precursors Using a Convolutional Neural Network-based Facial Expression Recognition Model

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Project overview:

PSYmed is a Facial Expression Recognition Convolutional Neural Network (FER-CNN) model that is capable of recognizing panic attack precursors through facial expressions.

Datasets used: FER2013, MMAFEDB, and a modified, light version of FER-AffectNet Training models: VGG-16, HaarCascade (for facial recognition)