Urdu Sign Language Interpreter Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Educational Tool: The Urdu Sign Language Interpreter model can be used in educational settings to help teach and reinforce students' understanding of the Urdu sign language alphabet by recognizing and providing feedback on their hand signs.
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Accessibility App: Integration of the model into a smartphone app that translates Urdu sign language to text or speech in real-time, enhancing communication for individuals who are deaf or hard of hearing by bridging the gap between sign language users and non-signers.
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Video Communication Systems: Implementing the model in video conferencing platforms to enable real-time sign language interpretation and translations for meetings, conferences, and remote work environments where participants communicate using Urdu sign language.
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Sign Language Tutoring: Creating an interactive tutoring system that uses the model to interpret and evaluate users' sign language skills, providing personalized feedback and targeted practice for improvement in specific areas of the Urdu sign language alphabet.
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Language Learning Games: Developing entertaining and educational games that incorporate the Urdu Sign Language Interpreter model, allowing users to practice and improve their sign language skills while enjoying engaging gameplay.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
urdu-sign-language-interpreter_dataset,
title = { Urdu Sign Language Interpreter Dataset },
type = { Open Source Dataset },
author = { xXx },
howpublished = { \url{ https://universe.roboflow.com/xxx-llcm4/urdu-sign-language-interpreter } },
url = { https://universe.roboflow.com/xxx-llcm4/urdu-sign-language-interpreter },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-27 },
}