A Mode-Specific Classification Based on sEMG for User-Independent Locomotion Transition Recognition.
Ziyao WangXingwei AnRui XuLin MengDong MingPublished in: ROBIO (2021)
Keyphrases
- feature extraction
- pattern recognition
- object classification
- recognition rate
- user defined
- automatic recognition
- correct recognition
- classification accuracy
- pattern classification
- unsupervised learning
- automatic classification
- preprocessing
- object recognition
- machine learning
- handwritten digits
- classification models
- pattern recognition tasks
- classification algorithm
- user interaction
- feature selection
- support vector machine
- decision trees
- feature space
- feature vectors
- supervised learning
- image classification
- classification method
- support vector machine svm
- affect recognition
- user preferences
- recognition process
- recommender systems
- action recognition
- recognition accuracy
- decision rules
- model selection
- classification scheme
- user interface
- benchmark datasets
- preprocessing stage
- robust detection
- domain specific
- support vector