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Using Deep Convolutional Networks for Gesture Recognition in American Sign Language
October 18, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Vivek Bheda, Dianna Radpour
arXiv ID
1710.06836
Category
cs.CV: Computer Vision
Citations
122
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In the realm of multimodal communication, sign language is, and continues to be, one of the most understudied areas. In line with recent advances in the field of deep learning, there are far reaching implications and applications that neural networks can have for sign language interpretation. In this paper, we present a method for using deep convolutional networks to classify images of both the the letters and digits in American Sign Language.
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