UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2205926


Registration ID:
403172

Page Number

i186-i190

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Title

Hand Gesture Detection Using CNN

Abstract

Multimedia computing, secure data communication, biomedical, biometrics, remote sensing, texture comprehension, pattern recognition, content-based retrieval, compression, and many other applications are among the rapidly increasing disciplines. It all comes down to how a computer can detect graphical data after a picture has been processed. Pointing gestures are particularly intriguing communication and may be a more intuitive interface for choosing than the majority of gestures used by humans when communicating with one another. They allow for the indication of things and locations, for example, to construct a robot, we must modify the movement direction or simply mark some items. This is especially useful with speech recognition software and pointing gestures, which can be used to describe parameters in vocal assertions. This technology may provide a benefit to impaired people who are unable to communicate. A translator can also be employed if the sender and receiver speak different languages. It has long been seen as a difficult issue in the subject of developing a natural interaction interface, in which individuals can engage with technologies as they would with the actual world. The hands-free application interface will naturally immerse the user from the actual world to the virtual environment since it is based on human sign and no gadgets are tied to the user. The motion is identified and a corresponding output is created when the input image matches the provided dataset in the neural network's memory.

Key Words

Multimedia computing, secure data communication, biomedical, biometrics, remote sensing, texture comprehension, pattern recognition, content-based retrieval, compression, and many other applications are among the rapidly increasing disciplines. It all comes down to how a computer can detect graphical data after a picture has been processed. Pointing gestures are particularly intriguing communication and may be a more intuitive interface for choosing than the majority of gestures used by humans when communicating with one another. They allow for the indication of things and locations, for example, to construct a robot, we must modify the movement direction or simply mark some items. This is especially useful with speech recognition software and pointing gestures, which can be used to describe parameters in vocal assertions. This technology may provide a benefit to impaired people who are unable to communicate. A translator can also be employed if the sender and receiver speak different languages. It has long been seen as a difficult issue in the subject of developing a natural interaction interface, in which individuals can engage with technologies as they would with the actual world. The hands-free application interface will naturally immerse the user from the actual world to the virtual environment since it is based on human sign and no gadgets are tied to the user. The motion is identified and a corresponding output is created when the input image matches the provided dataset in the neural network's memory.

Cite This Article

"Hand Gesture Detection Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.i186-i190, May-2022, Available :http://www.jetir.org/papers/JETIR2205926.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

"Hand Gesture Detection Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppi186-i190, May-2022, Available at : http://www.jetir.org/papers/JETIR2205926.pdf

Publication Details

Published Paper ID: JETIR2205926
Registration ID: 403172
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: i186-i190
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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