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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM39261

Hand Gesture Control

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM39261

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AM

Aditya Machhi

MS

Manav Sanghani

KP

Keval Prawasi

APMMV

Asst. Prof. Ms. Manisha Vasava

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Abstract

The shift toward touchless interfaces has accelerated with the demand for hygienic and intuitive computing. Gesturify is a gesture-based system that replaces physical input devices by enabling cursor actions and drawing functionalities through hand gestures. It integrates a virtual keyboard and a gesture-controlled paint application, powered by OpenCV, Media-Pipe, and Python’s Tkinter for GUI. This solution offers a hands-free, accessible, and ergonomic interface ideal for virtual environments, physically challenged users, and applications where contactless interaction is essential.

KEYWORDS

Hand Gesture Recognition OpenCV MediaPipe Tkinter Virtual Keyboard Paint Tool HCI

Cite This Article

Aditya Machhi, Manav Sanghani, Keval Prawasi, Asst. Prof. Ms. Manisha Vasava, "Hand Gesture Control," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

5/23/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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