Challenge
Managing an optimal level of cognitive is key for learning outcomes.
Approach
Our approach classifies cognitive load into three categories with 60% accuracy, which is notably higher than baseline classifiers. Results open up new opportunities for cognitive load detection using EEG signals moving forward.
Results
Our approach classifies cognitive load into three categories with 60% accuracy, which is notably higher than baseline classifiers. Results open up new opportunities for cognitive load detection using EEG signals moving forward.
Project Status
Concluded
Lead Researchers
Dr. Joseph Ollier, Dr. Bingjie Chen
