Individual hand movement detection and classification using peripheral nerve signals.
Yiman ZhangJacob G. NieveenSuzanne M. WendelkenDavid M. PageTyler S. DavisAntônio Padilha Lanari BóDouglas T. HutchinsonGregory A. ClarkDavid J. WarrenChaozhu ZhangV. John MathewsPublished in: NER (2017)
Keyphrases
- feature vectors
- decision trees
- pattern recognition
- signal processing
- automatic classification
- pattern classification
- support vector machine
- image classification
- detection method
- support vector machine svm
- robust detection
- classification scheme
- classification models
- automatic detection
- mammogram images
- benchmark datasets
- text classification
- classification accuracy
- preprocessing
- machine learning
- machine learning algorithms
- class labels
- object detection
- classification method
- acoustic signals
- feature extraction
- discriminative classifiers
- sleep stage
- neyman pearson
- digital mammograms
- signal detection
- power quality disturbance
- detection rate
- classification rules
- classification algorithm
- medical images
- training set
- feature space
- feature selection