AidEm Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Educational Tools: AidEm can be used in language learning platforms or applications focusing on The Filipino Sign Language (FSL). It can serve as an interactive tool to learn and practice individual signs or full sentences, enhancing their ability to communicate effectively.
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Assistive Technologies: This model could be integrated into assistive technologies for hearing-impaired individuals. For instance, a real-time translation tool that interprets FSL into text or spoken language, facilitating communication between hearing-impaired and non-sign-language users.
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Healthcare Support: AidEm can be used in hospitals and healthcare settings to facilitate communication with hearing-impaired patients. It can help medical staff understand the patient's queries and responses more accurately, improving patient care.
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Inclusion in Digital Platforms: Websites and digital services can incorporate AidEm to make their platforms more accessible to hearing-impaired users. They can offer real-time sign language interpretations of their content, enhancing inclusivity.
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Public Services: Government agencies and public services can use AidEm to create tools that ensure their services are accessible to all citizens, including the hearing impaired. It can assist in tasks like filling out online forms or understanding public broadcasts.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
aidem_dataset,
title = { AidEm Dataset },
type = { Open Source Dataset },
author = { AidEm Final },
howpublished = { \url{ https://universe.roboflow.com/aidem-final/aidem } },
url = { https://universe.roboflow.com/aidem-final/aidem },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-27 },
}