person_hand_gesture Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Gesture-Controlled Interfaces: This model could be used in creating gesture-controlled interfaces for smart home systems or gaming consoles. Users would be able to use different hand gestures (like, ok, fist, palm etc.) to perform various commands, such as raising the volume, changing the channel on a smart TV, or controlling a character in a video game.
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Sign Language Recognition: The model could be instrumental in a system designed to recognize and translate sign language into spoken or written words, improving communication for the deaf community.
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Traffic Management: In traffic control, the model can help capture and interpret hand signals from traffic police officers or other personnel.
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Meetings and Conference Interpretation: In a meeting or conference environment, this could be used to understand speaker's body language and non-verbal communication cues like hand gestures. This could be especially useful in cross-cultural meetings where some gestures could have different meanings.
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Educational Use: This model can be used in educational settings to help teach students or beginners about different standard hand gestures and their meanings in real-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{
person_hand_gesture_dataset,
title = { person_hand_gesture Dataset },
type = { Open Source Dataset },
author = { Chalmers University of Technology },
howpublished = { \url{ https://universe.roboflow.com/chalmers-university-of-technology/person_hand_gesture } },
url = { https://universe.roboflow.com/chalmers-university-of-technology/person_hand_gesture },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-11-21 },
}