A comparative study on PCA and LDA based EMG pattern recognition for anthropomorphic robotic hand.
Daohui ZhangXingang ZhaoJianda HanYiwen ZhaoPublished in: ICRA (2014)
Keyphrases
- pattern recognition
- principal component analysis
- dimensionality reduction
- feature extraction
- principal components analysis
- image analysis
- machine learning
- neural network
- computer vision
- mobile robot
- real time
- principal components
- principle component analysis
- face recognition
- motor control
- random projections
- independent component analysis
- covariance matrix
- comparative study
- signal processing
- robot arm
- high dimensional
- moment invariants
- motion planning
- real robot
- emg signals
- robotic systems
- high dimensional data
- support vector machine svm
- low dimensional
- rough sets
- k means
- feature space
- reinforcement learning
- data mining
- data sets