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Building a machine learning model to predict emotions based of facial expression data from the Meta Quest Pro

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Facial Recognition Model for Emotion Analysis

Overview

The following repository is comprised of python scripts & csv files written and collected through the Fall 23' and Spring 24' semesters at Virginia Commonwealth University. The data collected is facial tracking from the Meta Quest Pro using the Oculus SDK in Unity.

Unity-Communication

The Unity-Communication folder contains unity_data_receiver.py which is the backend of the unity project. It can be used to collect data as well as making predicitions with the models file.

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Building a machine learning model to predict emotions based of facial expression data from the Meta Quest Pro

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