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Continuous sign language recognition using level building based on fast hidden Markov model

  • Published:2016-07 Issue: Volume:78 Page:28-35
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Yang Wenwen,Tao Jinxu,Ye Zhongfu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

1. A tutorial on hidden Markov models and selected applications in speech recognition;Rabiner;Proc. IEEE,1989

2. Real-time American sign language recognition using desk and wearable computer based video;Starner;IEEE Trans. Pattern Anal. Mach. Intell.,1998

3. Parallel hidden Markov models for American sign language recognition;Vogler,1999

4. An HMM-based threshold model approach for gesture recognition;Lee;IEEE Trans. Pattern Anal. Mach. Intell.,1999

5. Conditional models for contextual human motion recognition;Sminchisescu,2005

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2. Temporal superimposed crossover module for effective continuous sign language;Machine Vision and Applications;2024-08-19

3. Advancing Total Communication in SIBI: A Proposed Conceptual Framework for Sign Language Translation;2023 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS);2023-11-02

4. Continuous sign language recognition based on hierarchical memory sequence network;IET Computer Vision;2023-09-22

5. Deep SLRT: The Development of Deep Learning based Multilingual and Multimodal Sign Language Recognition and Translation Framework;Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing;2023-08-20
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