HFR_Interaction Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Video Surveillance Systems: The HFR_Interaction model can be integrated into surveillance systems to assist in detecting and analyzing human behaviors in monitored areas. When hands make stop or come closer gestures, it could indicate potential threats or emergencies.
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Autonomous Vehicles and Drones: Detection of hand signals in real-time could be crucial for autonomous vehicles or drones to respond to human-initiated commands and cues, enhancing safety and control in certain environments.
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Human-Robot Interaction: The model can be used in robots to understand and respond to hand gestures from humans. For example, in assembly lines, a robot could stop or come closer based on the worker's hand signals.
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Virtual/Augmented Reality Gaming: This model can be used in VR/AR game systems to offer gesture controls. Players could use stop and come closer gestures to control in-game actions.
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Smart Home Devices: Integration of this model into smart home systems could allow users to control various appliances or systems with their hand gestures, creating a hands-free and convenient living environment.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hfr_interaction_dataset,
title = { HFR_Interaction Dataset },
type = { Open Source Dataset },
author = { EBRLHFR interaction },
howpublished = { \url{ https://universe.roboflow.com/ebrlhfr-interaction/hfr_interaction } },
url = { https://universe.roboflow.com/ebrlhfr-interaction/hfr_interaction },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2024-11-23 },
}