An adaptive driver fatigue classification framework using EEG and attention-based hybrid neural network with individual feature subsets.
Yuchen WangZijie FangXiaoyong SunXuefen LinLei NiuWeifeng MaPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- feature selection
- feature subset
- classification accuracy
- feature subset selection
- classification models
- final classification
- support vector
- pattern recognition
- feature ranking
- support vector machine svm
- feature selection algorithms
- machine learning
- feature set
- feature space
- feature vectors
- hybrid neural network
- feature extraction
- eeg signals
- image classification
- classification method
- genetic algorithm ga
- support vector machine
- training set
- classification algorithm
- cross validation
- irrelevant features
- decision trees
- redundant features
- model selection