Device agnostic sleep-wake segment classification from wrist-worn accelerometry.
Luis R. PerazaRichard JoulesYves DauvilliersRobin WolzPublished in: ICHI (2020)
Keyphrases
- eeg signals
- pattern recognition
- classification method
- feature selection
- classification systems
- classification accuracy
- support vector machine svm
- sleep stage
- machine learning
- classification models
- support vector
- classification process
- pattern classification
- decision makers
- decision trees
- feature extraction
- automatic classification
- feature vectors
- classification algorithm
- decision rules
- machine learning methods
- activity recognition
- cost sensitive
- preprocessing
- machine learning algorithms
- support vector machine
- training samples
- text classification
- crisis management
- multi class