$\mathrm {M^{3}S \text{- }CNN}$: Resting-State EEG Based Multimodal and Multiscale Feature Extraction for Student Behavior Prediction in Class.
Yehan XuJingyu LuoJunyi LiangShaogang SongMing MaZiheng GuoLikun XiaPublished in: ICONIP (5) (2022)
Keyphrases
- multiscale
- feature extraction
- resting state
- functional connectivity
- healthy subjects
- wavelet transform
- image processing
- brain activity
- extracted features
- signal processing
- pattern recognition
- texture analysis
- pattern classification
- feature vectors
- learning environment
- learning styles
- affective states
- brain computer interface
- contrast enhancement
- information processing
- edge detection
- feature space
- image segmentation