HandDetection Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
-
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.
-
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.
-
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.
-
Educational Tool: It could be used as an educational tool for learning or teaching sign language, by providing immediate feedback on hand sign correctness.
-
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.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-09-23 },
}