Virtual Air Canvas
Abstract
An important development in human-computer
interaction is this creative use of open-source frameworks to
create gesture-controlled whiteboard technology. The device
allows users to interact with a virtual whiteboard using natural
gestures by utilizing advanced computer vision algorithms for
hand tracking and interpretation. This strategy enhances
relationships and interactions by fostering new forms of
communication in addition to expanding upon conventional
writing techniques. The system improves accessibility and
provides opportunities for people with a range of communication
challenges by utilizing contemporary technology. Its ability to
improve people’s quality of life by providing new channels for
communication and giving them new tools for expression and
involvement is highlighted by its contribution to the changing
field of human-computer interaction.
Keywords:
Data Processing, Handmark Estimation, Computer Vision algorithms, MediaPipe, OpenCV
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Copyright (c) 2024 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
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