HMM-based state classification of a user with a walking support system using visual PCA features.
Sajjad TaghvaeiKazuhiro KosugePublished in: Adv. Robotics (2014)
Keyphrases
- feature extraction
- feature space
- classification accuracy
- feature set
- svm classifier
- feature vectors
- extracting features
- principal component analysis
- end users
- feature reduction
- classification process
- classification method
- principle component analysis
- extracted features
- support vector machine svm
- pattern recognition
- feature analysis
- rotational invariant
- interactive visual
- low level
- feature representation
- class labels
- benchmark datasets
- principal components
- classification models
- visual information
- feature selection
- user interaction
- fisher linear discriminant
- support vector machine
- support vector
- high dimensionality
- dimensionality reduction
- gabor features
- hidden markov models
- expression classification
- feature values
- discriminative features
- principal components analysis
- visual feedback
- svm classification
- decision trees
- gabor filters
- feature subset
- visual features
- image classification
- weak classifiers
- eeg signals
- classification algorithm
- image features
- image retrieval
- high dimensional
- face recognition