Adapting Random Forest Classifier Based on Single and Multiple Features for Surface Electromyography Signal Recognition.
Tao ZhouOlatunji Mumini OmisoreWenjing DuLei WangYuan ZhangPublished in: CISP-BMEI (2019)
Keyphrases
- random forest
- multiple features
- feature set
- feature fusion
- decision trees
- feature extraction
- recognition rate
- object recognition
- fold cross validation
- feature selection
- emg signals
- three dimensional
- data fusion
- feature vectors
- pattern recognition
- d objects
- unsupervised learning
- multi label
- ensemble methods
- combining multiple
- feature space
- computer vision
- classification accuracy
- class labels
- visual information
- incremental learning