HandDetection Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Assistive Technology: "HandDetection" model can be used as an aid for hard-of-hearing or deaf individuals by translating sign language into spoken words or text.
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Gesture Controlled Devices: This model can enable the development of devices or applications that can be controlled through hand signals - particularly useful in touch-free technology like virtual reality gaming or home automation systems.
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Surveillance Security: To detect suspicious activities, the model can be implemented in video surveillance security systems. For instance, a certain hand sign could be a unique identifier or a distress signal.
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Educational Tool: It could be used as an educational tool for learning or teaching sign language, by providing immediate feedback on hand sign correctness.
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Health Sector: In the medical sector, the model can contribute to the diagnosis of neurodegenerative disorders that affect motor skills, by tracking and assessing hand movements and detecting abnormalities over time.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
handdetection-hhnmu_dataset,
title = { HandDetection Dataset },
type = { Open Source Dataset },
author = { HandDetection },
howpublished = { \url{ https://universe.roboflow.com/handdetection-cuwha/handdetection-hhnmu } },
url = { https://universe.roboflow.com/handdetection-cuwha/handdetection-hhnmu },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-23 },
}