Journal
IEEE ACCESS
Volume 7, Issue -, Pages 96926-96935Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2929174
Keywords
Sign language; Chinese sign language recognition; deep learning; CSL datasets; vision-based; sensor-based; review
Categories
Funding
- National Natural Science Foundation of China [61573294]
- National Social Science Foundation of China [16AZD049]
- Outstanding Achievement Late Fund of the State Language Commission of China [WT135-38]
- Fundamental Research Funds for the Central Universities [20720181002]
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As with the huge number of deaf-mute people in China is of concern, there is a growing need to integrate them into mainstream society through the use of efficient sign language processing technologies. Sign language processing entails the systematic recognition and translation of sign language images/videos to text or speech. This survey provides an overview of the most important work on Chinese sign language recognition and translation, discussed its classification, highlights the features explored in sign language recognition research, presents the datasets available, and provides trends for the future research.
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