Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66172
Title: Real-time sign language recognition with guided deep convolutional neural networks
Authors: Liu, Z
Huang, F
Tang, GWL
Sze, FYB
Qin, J 
Wang, X
Xu, Q
Keywords: Convolutional neural networks
Sign language recognition
Issue Date: 2016
Publisher: Association for Computing Machinery, Inc
Source: SUI 2016 - Proceedings of the 2016 Symposium on Spatial User Interaction, 2016, p. 187 How to cite?
Abstract: We develop a real-time, robust and accurate sign language recognition system leveraging deep convolutional neural networks(DCNN). Our framework is able to prevent common problems such as error accumulation of existing frameworks and it outperforms state-of-the-art frameworks in terms of accuracy, recognition time and usability.
Description: 4th Symposium on Spatial User Interaction, SUI 2016, Tokyo, Japan, 15-16 October 2016
URI: http://hdl.handle.net/10397/66172
ISBN: 9781450340687
DOI: 10.1145/2983310.2989187
Appears in Collections:Conference Paper

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