Recognising drivers' mental fatigue based on EEG multi-dimensional feature selection and fusion.
Yuhao ZhangHanying GuoYongjiang ZhouChengji XuYang LiaoPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- multi dimensional
- feature selection
- traffic accidents
- text categorization
- support vector
- method for feature selection
- data fusion
- machine learning
- multiple dimensions
- activity recognition
- feature set
- feature subset
- feature level fusion
- mutual information
- support vector machine
- multi dimensional data
- image fusion
- feature selection algorithms
- brain computer interface
- key factors
- image processing
- multi class
- classification accuracy
- data sets
- classification models
- brain activity
- signal processing
- motor imagery
- feature extraction
- eeg signals
- mental states
- data cube
- information processing
- model selection
- fusion method
- selected features
- frequency band
- fusion algorithm
- multiple features
- human intelligence
- irrelevant features
- high dimensional
- event related
- high dimensionality
- data mining