Classification of Blink Waveforms Towards the Assessment of Driver's Arousal Level - An Approach for HMM Based Classification from Blinking Video Sequence.
Yoshihiro NoguchiRoongroj NopsuwanchaiMieko OhsugaYoshiyuki KamakuraPublished in: HCI (13) (2007)
Keyphrases
- pattern recognition
- automatic classification
- classification method
- machine learning
- supervised learning
- decision trees
- classification scheme
- active learning
- support vector machine svm
- higher level
- text classification
- support vector machine
- classification accuracy
- feature vectors
- preprocessing
- support vector
- machine learning methods
- classification models
- classification algorithm
- training samples
- feature selection
- classification systems
- video frames
- unsupervised learning
- model selection
- multi class
- motion estimation
- training set
- video sequences
- feature extraction
- image sequences