A data-driven framework for learners' cognitive load detection using ECG-PPG physiological feature fusion and XGBoost classification.
Chixiang WangJunqi GuoPublished in: IIKI (2018)
Keyphrases
- cognitive load
- data driven
- feature fusion
- heart rate
- feature extraction
- multiple features
- training set
- classification rules
- learning outcomes
- supervised learning
- feature selection
- text classification
- support vector machine
- machine learning
- feature set
- class labels
- classification accuracy
- multiple instance learning
- pattern recognition
- support vector
- decision trees