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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10965662/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|