UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Volume 11 Issue 5
May-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2405668


Registration ID:
540340

Page Number

g562-g566

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Title

Application of Machine Learning Techniques for gesture-controlled virtual mouse

Abstract

The innovation is the creation of a virtual mouse with gesture control features. An overview of this cutting-edge technology and its possible ramifications is given in this abstract. The gesture-controlled virtual mouse presents a ground-breaking method of cognitive computing. With the advent of intelligent hand movements, users may now move around their digital world without depending on physical gadgets like traditional mouse. This improves user comfort and productivity by offering a more comprehensive and intuitive way for people to engage with computers. With the digital mouse's route guidance feature, users may do a variety of activities by only raising their hands in predefined patterns or motions. Through the application of computer vision and machine learning techniques, the system is able to precisely identify and decipher the user's motions, converting them into commands. These motions may be used to navigate, click, drag, or even launch certain programs. This boosts efficiency and does away with the need for actual mouse devices. Additionally, the virtual mouse promotes a customized customer experience, which raises pleasure and convenience of use. To summarize, the gesture-controlled virtual mouse offers a revolutionary replacement for conventional computer interface. Through the utilization of natural movements, this technology facilitates a more effortless and productive connection between humans and objects. Such technologies have a wide range of possible uses, including chances to improve user happiness, availability, and efficiency.

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"Application of Machine Learning Techniques for gesture-controlled virtual mouse", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.g562-g566, May-2024, Available :http://www.jetir.org/papers/JETIR2405668.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Application of Machine Learning Techniques for gesture-controlled virtual mouse", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppg562-g566, May-2024, Available at : http://www.jetir.org/papers/JETIR2405668.pdf

Publication Details

Published Paper ID: JETIR2405668
Registration ID: 540340
Published In: Volume 11 | Issue 5 | Year May-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.39404
Page No: g562-g566
Country: Nagpur, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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