Stress Recognition with EEG Signals Using Explainable Neural Networks and a Genetic Algorithm for Feature Selection.
Eric PanJessica Sharmin RahmanPublished in: ICONIP (6) (2021)
Keyphrases
- genetic algorithm
- eeg signals
- neural network
- feature selection
- pattern recognition
- feature extraction
- linear discriminant classifier
- recognition rate
- fuzzy logic
- signal processing
- evolutionary algorithm
- motor imagery
- artificial neural networks
- brain computer interface
- feature set
- text categorization
- fold cross validation
- machine learning
- recognition algorithm
- object recognition
- fitness function
- extracted features
- brain activity
- brain signals
- multi objective
- feature space
- computer vision
- image classification
- kernel density estimators
- healthy subjects
- high dimensional
- knn
- back propagation
- simulated annealing
- unsupervised learning
- text classification