Implementation in Tensorflow 2.x of Engagement Recognition using DAiSEE dataset

Engagement Recognition is made through a multi-label classification of the following status:

• engaged
• bored
• frustrated
• confused

This implementation comes with a camera script so to test it using your webcam.

Download the dataset running the .sh script

You can install dependencies as usual using pip install -r requirements.txt Then you need to preprocess the dataset by running daisee_data_preprocessing.py script. Afterwards run train.py to train the model and test it using main.py script