A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images.
Salem AmeenSunil VaderaPublished in: Expert Syst. J. Knowl. Eng. (2017)
Keyphrases
- american sign language
- colour images
- convolutional neural network
- sign language
- hand gesture recognition
- english text
- face detection
- single image
- mathematical morphology
- using artificial neural networks
- word recognition
- motion patterns
- multi valued
- morphological operators
- gesture recognition
- depth information
- hand shape
- neural network
- hand gestures
- pixel values
- depth data
- depth map
- image analysis
- pattern recognition
- image sequences