Classification of the surface EMG signal using RQA based representations.
Changsong YuanXiangyang ZhuGuangquan LiuMin LeiPublished in: IJCNN (2008)
Keyphrases
- pattern recognition
- emg signals
- automatic classification
- classification accuracy
- pattern classification
- feature vectors
- machine learning
- classification scheme
- classification systems
- classification algorithm
- support vector machine
- image classification
- unsupervised learning
- feature extraction
- decision trees
- benchmark datasets
- neural network
- classification models
- image processing
- single image
- training samples
- supervised learning
- three dimensional
- preprocessing
- model selection
- text classification
- signal processing
- active learning
- classification method
- surface reconstruction
- training set
- computer vision
- learning algorithm
- feature space