Recognizing American Sign Language gestures efficiently and accurately using a hybrid transformer model
Abstract Gesture recognition plays a vital role in computer vision, especially for interpreting sign language and enabling human–computer interaction. Many existing methods struggle with challenges like heavy computational demands, difficulty in understanding long-range relationships, sensitivity to...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06344-8 |
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