An EEG-based classification system of Passenger's motion sickness level by using feature extraction/selection technologies.
Yi-Hsin YuPei-Chen LaiLi-Wei KoChun-Hsiang ChuangBor-Chen KuoChin-Teng LinPublished in: IJCNN (2010)
Keyphrases
- feature extraction
- pattern classification
- feature vectors
- support vector machine svm
- pattern recognition
- image classification
- feature selection
- eeg signals
- feature extraction and classification
- feature space
- extracting features
- dimension reduction
- image feature extraction
- preprocessing
- motion estimation
- optical flow
- extracted features
- image sequences
- dimensionality reduction
- texture analysis
- classification method
- frequency domain
- feature representation
- principal component analysis
- signal processing
- classification accuracy
- image processing
- machine learning
- eeg data
- feature points
- feature set
- motion model
- moving objects
- support vector
- decision trees
- preprocessing stage
- sleep stage
- motor imagery
- kernel principal component analysis
- text classification
- face images
- support vector machine
- training set
- face recognition
- computer vision