A Study on the STGCN-LSTM Sign Language Recognition Model Based on Phonological Features of Sign Language
Many isolated words in Chinese Sign Language (CSL) exhibit significant feature similarities, which are primarily conveyed through hand, face, and body movements. Among these, hand features are particularly crucial, as they carry substantial information about the sign language words. However, the spa...
| Published in: | IEEE Access |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10965662/ |
