Autonomous System for EEG-Based Multiple Abnormal Mental States Classification Using Hybrid Deep Neural Networks Under Flight Environment.
Dae-Hyeok LeeJi-Hoon JeongBaek-Woon YuTae-Eui KamSeong-Whan LeePublished in: IEEE Trans. Syst. Man Cybern. Syst. (2023)
Keyphrases
- mental states
- neural network
- pattern recognition
- eeg signals
- mobile robot
- feature extraction
- pattern classification
- feature vectors
- multiple autonomous
- semi autonomous
- support vector
- classification accuracy
- bdi agents
- neural networks and support vector machines
- anomaly detection
- autistic children
- robotic systems
- cognitive states
- operational semantics
- machine learning
- intelligent agents
- support vector machine svm
- dynamic environments
- text classification
- artificial neural networks
- cooperative
- neural network model
- autonomous agents
- multi layer perceptron
- unsupervised learning
- motor imagery
- feature selection
- artificial intelligence
- learning algorithm
- sleep stage