A physiological data-driven model for learners' cognitive load detection using HRV-PRV feature fusion and optimized XGBoost classification.
Junqi GuoYazhu DaiChixiang WangHao WuTianyou XuKai LinPublished in: Softw. Pract. Exp. (2020)
Keyphrases
- data driven
- cognitive load
- feature fusion
- image processing
- classification models
- feature vectors
- pattern recognition
- support vector
- learning environment
- classification method
- feature extraction
- high level
- working memory
- feature space
- learning process
- classification accuracy
- multi class
- feature set
- text classification
- classification algorithm
- e learning