Abstract
Sign Language Recognition (SLR) technology is an important technical means to break the communication barrier between hearing-impaired people and healthy people. The sign language datasets, evaluation indicators and sign language recognition methods in recent years are summarized. Firstly, the sign language dataset is systematically summarized and the development trend of the dataset of sign language recognition methods is analyzed. Secondly, the evaluation indicator of sign language recognition method is introduced in detail. Then, according to the content of sign language expression and the features used in sign language recognition methods, isolated word sign language recognition methods and continuous sign language recognition methods, sign language recognition methods relying only on hand features and sign language recognition methods of multi feature fusion are summarized and analyzed. Finally, the challenges and development direction of sign language recognition technology are discussed.
| Translated title of the contribution | A Survey of Sign Language Recognition Technology Based on Sign Language Expression Content and Expression Characteristics |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 3439-3457 |
| Number of pages | 19 |
| Journal | Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology |
| Volume | 45 |
| Issue number | 10 |
| DOIs | |
| State | Published - 2023 |
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