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A Survey on Dynamic Sign Language Recognition

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Advances in Computer, Communication and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1158))

Abstract

Sign Language Recognition (SLR) plays a significant role in solving communicating problem between people who are deaf. The focus of a variety of SLR systems is the same, to improve the accuracy of recognition. This paper presents a survey on dynamic SLR, including two main categories, typically mentioning HMM, some main datasets in different languages and methods used for data preprocessing.

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Author information

Authors and Affiliations

  1. Harbin Engineering University, Harbin, China

    Ziqian Sun

Authors
  1. Ziqian Sun
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Corresponding author

Correspondence to Ziqian Sun .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri–St. Louis, Chesterfield, MO, USA

    Sanjiv K. Bhatia

  2. Computer Science Engineering Department, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Shanghai Advanced Research Institute, Pudong, China

    Su Ruidan

  4. National Institute of Technology Agartala, Agartala, Tripura, India

    Munesh Chandra Trivedi

  5. Computer Science Engineering Department, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    K. K. Mishra

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Sun, Z. (2021). A Survey on Dynamic Sign Language Recognition. In: Bhatia, S.K., Tiwari, S., Ruidan, S., Trivedi, M.C., Mishra, K.K. (eds) Advances in Computer, Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 1158. Springer, Singapore. https://doi.org/10.1007/978-981-15-4409-5_89

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