EEG-based motion sickness classification system with genetic feature selection.
Li-Wei KoHua-Chin LeeShu-Fang TsaiTsung-Chin ShihYa-Ting ChuangHui-Ling HuangShinn-Ying HoChin-Teng LinPublished in: CCMB (2013)
Keyphrases
- feature selection
- classification accuracy
- feature set
- text classification
- support vector machine
- support vector
- feature space
- irrelevant features
- feature extraction
- eeg signals
- high dimensionality
- machine learning
- classification performances
- pattern recognition
- image sequences
- classification models
- decision trees
- feature selection and classification
- feature vectors
- feature subset selection
- image classification
- model selection
- text categorization
- genetic algorithm
- small sample
- bayes classifier
- feature reduction
- wall motion
- redundant features
- discriminative features
- feature subset
- classification method
- multi class
- brain computer interface
- camera motion
- unsupervised learning
- class separability
- optical flow
- training set
- training data