Random Forest Classification of Finger Movements using Electromyogram (EMG) Signals.
Mücahit FindikSeyma YilmazMehmet KöseogluPublished in: IEEE SENSORS (2020)
Keyphrases
- random forest
- decision trees
- emg signals
- fold cross validation
- feature set
- random forests
- decision tree learning algorithms
- classification accuracy
- feature extraction
- benchmark datasets
- ensemble classifier
- classification algorithm
- training data
- training set
- machine learning algorithms
- support vector
- ensemble methods
- support vector machine
- text classification
- feature selection
- feature vectors
- motor control
- similarity measure
- machine learning methods
- multi label
- class labels
- support vector machine svm
- image classification
- supervised learning
- semi supervised