Real-time sign language recognition with guided deep convolutional neural networks

Zhengzhe LIU, Fuyang HUANG, Gladys Wai Lan TANG, Felix Yim Binh SZE, Jing QIN, Xiaogang WANG, Qiang XU

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

11 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationSUI '16: Proceedings of the 2016 Symposium on Spatial User Interaction
PublisherAssociation for Computing Machinery
Pages187
Number of pages1
ISBN (Electronic)9781450340687
DOIs
Publication statusPublished - 2016
Externally publishedYes

Keywords

  • Convolutional neural networks
  • Sign language recognition

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