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作者:

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.)

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摘要:

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.

关键词:

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

作者机构:

  • [ 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

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年份: 2004

卷: 1

页码: 759-764

语种: 英文

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