Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data.
Kai Chieh ChangMark Hasegawa-JohnsonNancy L. McElwainBashima IslamPublished in: APSIPA ASC (2023)
Keyphrases
- data sets
- data analysis
- training samples
- data collection
- database
- pattern recognition
- signal processing
- classification accuracy
- support vector machine
- feature space
- data structure
- video sequences
- training data
- image sequences
- complex networks
- support vector
- probability distribution
- data mining techniques
- feature extraction
- labeled data
- feature selection
- support vector machine svm
- missing data
- fault diagnosis
- sleep stage