• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Gao, Wen (Gao, Wen.) | Chen, Yiqiang (Chen, Yiqiang.) | Fang, Gaolin (Fang, Gaolin.) | Yang, Changshui (Yang, Changshui.) | Jiang, Dalong (Jiang, Dalong.) | Ge, Chunbao (Ge, Chunbao.) | Wang, Chunli (Wang, Chunli.)

Indexed by:

EI Scopus

Abstract:

This paper presents a Chinese sign language/spoken language dialog system based on the technique of large vocabulary continuous Chinese sign language recognition (SLR) and Chinese sign language synthesis (SLS), which is new development for HandTalker. In the SLR module, a fuzzy decision tree with heterogeneous classifiers is presented for large vocabulary singer-independent SLR, and then large vocabulary continuous SLR based on transition movement models is proposed. In SLS module, three key techniques: realistic 3D facial animation and gesture retargeting technique and synchronization modal on gesture and lip motion are employed to improve sign language synthesis vividness. © 2004 IEEE.

Keyword:

Gesture recognition Animation Speech recognition Markov processes Mathematical models Human computer interaction Neural networks

Author Community:

  • [ 1 ] [Gao, Wen]Institute of Computing Technology, Chinese Academy of Science, Beijing, China
  • [ 2 ] [Gao, Wen]Harbin Institute of Technology, Harbin, China
  • [ 3 ] [Chen, Yiqiang]Institute of Computing Technology, Chinese Academy of Science, Beijing, China
  • [ 4 ] [Fang, Gaolin]Harbin Institute of Technology, Harbin, China
  • [ 5 ] [Yang, Changshui]Institute of Computing Technology, Chinese Academy of Science, Beijing, China
  • [ 6 ] [Jiang, Dalong]Institute of Computing Technology, Chinese Academy of Science, Beijing, China
  • [ 7 ] [Ge, Chunbao]Beijing University of Technology, Beijing, China
  • [ 8 ] [Wang, Chunli]Institute of Computing Technology, Chinese Academy of Science, Beijing, China

Reprint Author's Address:

Show more details

Related Keywords:

Related Article:

Source :

Year: 2004

Volume: 1

Page: 759-764

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

Affiliated Colleges:

Online/Total:854/5322700
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.