Unobtrusive classification of sleep and wakefulness using load cells under the bed.
Daniel AustinZachary T. BeattieThomas C. RileyAdriana M. AdamiChad C. HagenTamara L. HayesPublished in: EMBC (2012)
Keyphrases
- sleep stage
- feature selection
- classification accuracy
- feature vectors
- pattern recognition
- feature extraction
- eeg signals
- pattern classification
- support vector
- decision trees
- classification process
- image classification
- classification systems
- load balancing
- neural network
- correct classification
- automatic classification
- classification models
- decision rules
- svm classifier
- benchmark datasets
- unsupervised learning
- text classification
- training set
- gene expression
- ambient intelligence
- class labels
- classification scheme
- distributed systems
- feature space