Real-time Sign Language Recognition with Guided Deep Convolutional Neural Networks

Zhengzhe Liu, Fuyang Huang, G. Tang, F. Sze, J. Qin, Xiaogang Wang, Qiang Xu
{"title":"Real-time Sign Language Recognition with Guided Deep Convolutional Neural Networks","authors":"Zhengzhe Liu, Fuyang Huang, G. Tang, F. Sze, J. Qin, Xiaogang Wang, Qiang Xu","doi":"10.1145/2983310.2989187","DOIUrl":null,"url":null,"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.","PeriodicalId":185819,"journal":{"name":"Proceedings of the 2016 Symposium on Spatial User Interaction","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 Symposium on Spatial User Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2983310.2989187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于深度卷积神经网络的实时手语识别
我们利用深度卷积神经网络(DCNN)开发了一个实时、鲁棒和准确的手语识别系统。我们的框架能够防止诸如现有框架的错误积累等常见问题,并且在准确性,识别时间和可用性方面优于最先进的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improving Gestural Interaction With Augmented Cursors MocaBit 2.0: A Gamified System to Examine Behavioral Patterns through Granger Causality Session details: Input Device & Usability Development of a Toolkit for Creating Kinetic Garments Based on Smart Hair Technology Fast and Accurate 3D Selection using Proxy with Spatial Relationship for Immersive Virtual Environments
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1