Student Engagement Detection Using Emotion Analysis, Eye Tracking and Head Movement with Machine Learning

2 code implementations • 18 Sep 2019 • Prabin Sharma, Shubham Joshi, Subash Gautam, Sneha Maharjan, Salik Ram Khanal, Manuel Cabral Reis, João Barroso, Vítor Manuel de Jesus Filipe

The system was tested in a typical e-learning scenario, and the results show that it correctly identifies each period of time where students were "very engaged", "nominally engaged" and "not engaged at all".

BIG-bench Machine Learning Emotion Recognition