HandsGesture Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Gesture-based user interfaces: HandsGesture can be incorporated into a system to recognize different hand gestures for controlling devices or software, providing users with an intuitive and natural way to interact with technology.
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Sign language interpretation: By recognizing various hand gestures, HandsGesture can be used to develop tools that help facilitate communication for those who rely on sign language or assist in learning sign language.
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Smart home automation: HandsGesture can be integrated with smart home systems to allow users to control various appliances, lights, and devices in their home using specific hand gestures.
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Virtual or Augmented Reality experiences: HandsGesture can be implemented in VR or AR systems to allow users to interact with virtual objects and environments through natural hand gestures, enhancing the immersive experience.
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Rehabilitation and physiotherapy: HandsGesture can be employed in healthcare settings to track patients' hand movement progress during rehabilitation or physiotherapy exercises, assisting healthcare providers in assessing the patient's recovery status.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
handsgesture_dataset,
title = { HandsGesture Dataset },
type = { Open Source Dataset },
author = { MyRoboFlow },
howpublished = { \url{ https://universe.roboflow.com/myroboflow-4lrje/handsgesture } },
url = { https://universe.roboflow.com/myroboflow-4lrje/handsgesture },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-12-03 },
}