Real-time Sign Language Recognition with Guided Deep Convolutional Neural Networks
Refereed conference paper presented and published in conference proceedings


香港中文大学研究人员 ( 现职)

徐强教授 (计算机科学与工程学系)

秦璟博士 (计算机科学与工程学系)

施婉萍教授 (语言学及现代语言系)

邓慧兰教授 (语言学及现代语言系)

黄福洋先生 (计算机科学与工程学系)

刘政哲先生 (网络编码研究所)

全文

数位物件识别号 (DOI) http://dx.doi.org/10.1145/2983310.2989187

引用次数
Web of Sciencehttp://aims.cuhk.edu.hk/converis/portal/Publication/0WOS source URL

其它资讯

摘要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.

着者Liu ZZ, Huang FY, Tang GWL, Sze FYB, Qin J, Wang XG, Xu Q
会议名称4th ACM Symposium on Spatial User Interaction (SUI)
会议开始日15.1http://aims.cuhk.edu.hk/converis/portal/Publication/0.2http://aims.cuhk.edu.hk/converis/portal/Publication/016
会议完结日16.1http://aims.cuhk.edu.hk/converis/portal/Publication/0.2http://aims.cuhk.edu.hk/converis/portal/Publication/016
会议地点Tokyo
会议国家日本
出版年份2http://aims.cuhk.edu.hk/converis/portal/Publication/016
出版社ASSOC COMPUTING MACHINERY
页次187 - 187
电子国际标準书号978-1-45http://aims.cuhk.edu.hk/converis/portal/Publication/03-4http://aims.cuhk.edu.hk/converis/portal/Publication/068-7
语言英式英语

关键词Convolutional Neural Networks; Sign language recognition
Web of Science 学科类别Computer Science; Computer Science, Cybernetics