Classifiers and Adaptable Features Improve Myoelectric Command Accuracy in Trained Users.
Sarah M. O'MearaStephen K. RobinsonSanjay S. JoshiPublished in: NER (2021)
Keyphrases
- svm classifier
- feature set
- classification accuracy
- training set
- feature extraction
- support vector machine classifier
- extracted features
- trained classifiers
- adaboost classifier
- roc curve
- feature extractors
- support vector machine classifiers
- feature selection algorithms
- false positives
- support vector machine
- high accuracy
- fold cross validation
- feature vectors
- highest accuracy
- classification rate
- feature reduction
- feature selection
- improving classification accuracy
- improve the recognition accuracy
- neural network
- feature subset
- decision trees
- end users
- user interaction
- information gain
- supervised training
- training data
- support vector
- user interface
- image features
- decision stumps
- highly discriminative
- prediction accuracy
- roc analysis
- class labels
- classification process
- classification models