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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM11217

Mouse Cursor Control Using Hand Gestures

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM11217

Volume:

5 |

12 |

Dec 2021

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

KM

Kedar Mane

SB

Sahil Bandal

SK

Sanket Kadam

SG

Sweety Gholwe

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Abstract

The traditional mouse and keyboard interface, while effective, can limit interaction in certain environments where touchless control is preferable or necessary. This project presents a novel approach to controlling a computer mouse cursor using hand gestures, leveraging computer vision and real-time image processing. The system uses a standard webcam to capture hand movements, which are then interpreted using OpenCV and Python-based image processing techniques. By detecting and tracking specific hand gestures, the system can move the cursor, perform clicks, and execute other common mouse functions without any physical contact. ·

KEYWORDS

Hand Gesture Recognition Computer Vision Human-Computer Interaction (HCI) Cursor Control OpenCV Python

Cite This Article

Kedar Mane, Sahil Bandal, Sanket Kadam, Sweety Gholwe, "Mouse Cursor Control Using Hand Gestures," International Journal of Scientific Research in Engineering and Management, vol. 5, no. 12, Dec 2021.

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Publication Date

4/23/2025

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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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