suvajit-patra/sl-hwgat
Hierarchical Windowed Graph Attention Network for Sign Language Recognition
This project helps researchers and educators accurately recognize sign language from video data. By processing raw video or skeletal keypoint data, it produces classifications of individual signs or full sign language sentences. This tool is ideal for academic researchers, linguists, or educators working on sign language recognition, interpretation, or teaching applications.
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Use this if you need to train a highly accurate model for recognizing various sign language gestures from video recordings.
Not ideal if you need a pre-trained, ready-to-use application for real-time sign language interpretation without any model training.
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9
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Language
Python
License
MIT
Category
Last pushed
Sep 16, 2025
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