Mitigating Inter-Subject Brain Signal Variability FOR EEG-Based Driver Fatigue State Classification.
Sunhee HwangSungho ParkDohyung KimJewook LeeHyeran ByunPublished in: ICASSP (2021)
Keyphrases
- inter subject
- eeg signals
- eeg data
- functional magnetic resonance imaging
- intra subject
- signal processing
- mr images
- pattern recognition
- image registration
- cortical surface
- brain activity
- magnetic resonance images
- inter subject variability
- pattern classification
- brain computer interface
- feature extraction
- image data
- computer vision
- machine learning
- extracted features
- independent component analysis
- x ray
- registration accuracy
- feature vectors
- subject specific
- feature space