The Assessment of Driver's Arousal States from the Classification of Eye-Blink Patterns.
Yoshihiro NoguchiKeiji ShimadaMieko OhsugaYoshiyuki KamakuraYumiko InouePublished in: HCI (17) (2009)
Keyphrases
- pattern recognition
- lung disease
- pattern analysis
- support vector
- automatic classification
- decision trees
- eye tracking
- supervised learning
- image classification
- classification accuracy
- feature extraction
- training set
- pattern representation
- classification scheme
- classification method
- machine learning
- pattern mining
- model selection
- real time
- class labels
- decision rules
- benchmark datasets
- preprocessing
- pattern classification
- feature set
- feature space
- training patterns
- support vector machine
- data sets