Extracting tendency and stability from time series and random forest for classifying a car driver's cognitive load.
Yutaka YoshidaHayato OhwadaFumio MizoguchiPublished in: ICCI*CC (2014)
Keyphrases
- random forest
- cognitive load
- driving simulator
- random forests
- car navigation
- decision trees
- working memory
- skill acquisition
- advanced driver assistance systems
- learning outcomes
- ensemble methods
- fold cross validation
- multi label
- feature set
- driving behavior
- ensemble learning
- non stationary
- feature importance
- feature selection
- base classifiers
- cognitive load theory
- higher order
- decision tree learning algorithms
- reinforcement learning
- multi class
- text categorization
- image processing