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


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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.
著者Liu ZZ, Huang FY, Tang GWL, Sze FYB, Qin J, Wang XG, Xu Q
會議名稱4th ACM Symposium on Spatial User Interaction (SUI)
會議開始日15.10.2016
會議完結日16.10.2016
會議地點Tokyo
會議國家/地區日本
出版年份2016
出版社ASSOC COMPUTING MACHINERY
頁次187 - 187
電子國際標準書號978-1-4503-4068-7
語言英式英語
關鍵詞Convolutional Neural Networks; Sign language recognition
Web of Science 學科類別Computer Science; Computer Science, Cybernetics

上次更新時間 2021-16-01 於 01:21