Multimodal Classification of Stressful Environments in Visually Impaired Mobility Using EEG and Peripheral Biosignals.
Charalampos SaitisKyriaki KalimeriPublished in: CoRR (2018)
Keyphrases
- eeg signals
- machine learning
- classification accuracy
- feature vectors
- brain image analysis
- decision trees
- pattern recognition
- machine learning algorithms
- text classification
- image classification
- real world
- classification systems
- classification scheme
- automatic classification
- classification algorithm
- support vector machine svm
- supervised learning
- dynamic environments
- eeg data
- feature selection
- preprocessing
- classification method
- feature extraction
- machine learning methods
- neural network
- multimodal interaction
- multimedia
- support vector
- human brain
- pattern classification
- classification rules
- feature set
- benchmark datasets
- support vector machine
- training samples
- model selection
- multi modal