sign language detection Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Sign Language Translator: The model can be used to create a sign language translator that can interpret sign language in real-time offering assistance to the deaf and hard of hearing individuals in communicating with others who are not familiar with sign language.
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Educational Tools for Learning Sign Language: The model can serve as an educational tool for people who wish to learn sign language. With the help of this model, users can practice and correct their sign language gestures.
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Accessibility solutions in public or private spaces: This model can be used in public environments like airports, museums, or schools to aid people who communicate via sign language. It would essentially act as an interpreter, converting sign language to digital text.
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Video Conferencing: The model can be implemented into video conferencing platforms to enable real-time translations of sign language. This can ensure smoother and inclusive communication during online meetings or virtual events.
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Gaming and Entertainment: The model can be utilized in the gaming industry, converting sign gestures into game controls. Similarly, it can be used in virtual reality environments to interact with objects or characters using sign language gestures.
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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-detection-7cdpj_dataset,
title = { sign language detection Dataset },
type = { Open Source Dataset },
author = { Fyp },
howpublished = { \url{ https://universe.roboflow.com/fyp-j3iuz/sign-language-detection-7cdpj } },
url = { https://universe.roboflow.com/fyp-j3iuz/sign-language-detection-7cdpj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-26 },
}