Investigation of Sign Language Recognition Performance by Integration of Multiple Feature Elements and Classifiers.
Tatsunori OzawaYuna OkayasuMaitai DahlanHiromitsu NishimuraHiroshi TanakaPublished in: HCI (4) (2018)
Keyphrases
- multiple features
- sign language recognition
- data fusion
- sign language
- gesture recognition
- feature set
- feature space
- combining multiple
- class labels
- training set
- image retrieval
- feature vectors
- visual information
- hand tracking
- multiple instance learning
- metric learning
- feature selection
- support vector
- high level
- decision trees
- multiple views
- machine learning algorithms
- low level features
- relevance feedback
- training data
- similarity measure
- feature extraction
- computer vision