SIGN LANGUAGE RECOGNITION Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Education Tools: The "SIGN LANGUAGE RECOGNITION" model can be used in educational platforms or apps designed for learning sign language. The model can provide real-time feedback on users' signing accuracy and help them improve their signing skills.
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Communication Aid for the Hearing-Impaired: This model can be implemented in applications that assist hearing-impaired individuals in communicating with others who do not understand sign language. By converting signed gestures into written or spoken language, the system could facilitate more seamless communication.
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Real-Time Sign Language Translator: Utilization of this tool can be done in video conferencing platforms to provide real-time translation of sign language, which can make online meetings, webinars, or classes accessible to those who use sign language.
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Accessibility in Digital Media: It could be used in platforms like YouTube or streaming services to provide sign language translations for videos that don't already have them, thereby making content more accessible.
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Interactive Entertainment: For game developers, the tool can be used to create interactive experiences or games that use sign language. This would not only provide a fun, immersive experience, but also promote sign language learning.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
sign-language-recognition-mmbok_dataset,
title = { SIGN LANGUAGE RECOGNITION Dataset },
type = { Open Source Dataset },
author = { universitas bina insan },
howpublished = { \url{ https://universe.roboflow.com/universitas-bina-insan/sign-language-recognition-mmbok } },
url = { https://universe.roboflow.com/universitas-bina-insan/sign-language-recognition-mmbok },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-12-01 },
}