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Classifiers and Adaptable Features Improve Myoelectric Command Accuracy in Trained Users.
Sarah M. O'Meara
Stephen K. Robinson
Sanjay S. Joshi
Published in:
NER (2021)
Keyphrases
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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