Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images
Recognition of continuous sign language is challenging as the number of words is a sentence and their boundaries are unknown during the recognition stage. This work proposes a two-stage solution in which the number of words in a sign language sentence is predicted in the first stage. The sentence is...
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| Main Author: | Shanableh, Tamer (author) |
|---|---|
| Format: | article |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/25399 |
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