Paper Title

Hand Gesture Recognition

Article Identifiers

Registration ID: IJNRD_181378

Published ID: IJNRD2205178

DOI: Click Here to Get

Authors

Bharti Kumari , Himanshi Goel , Shivam Dutt Sharma , Devesh Singh Chauhan

Keywords

Deep learning ,Hand gesture recognition, Human-Machine Interface, Resnet Model

Abstract

Hand gesture recognition systems have gotten a lot of interest in recent years due to their wide range of applications and ability to easily connect with machines via human-computer interaction. A survey of modern hand gesture recognition systems is offered in this study. With challenges of gesture system, key issues of hand gesture recognition are highlighted. A review of recent postures and gestures recognition systems is also offered. A summary of hand gesture research results, databases, and a comparison of the main gesture recognition phases are also provided. Finally, the benefits and downsides of the various systems are explored. Crop inspections are now partial, expensive, and time-consuming. Chronological satellite photos of crops can be used to train and model neural networks for detecting illicit crops, but if we wish to do inter or intra class classification on various crops, the prediction will degrade due to the lack of information in satellite images. As a result, we used genuine field photographs to train the model. Once the patterns of a crop have been determined, the neural network's output model may be systematically predicted

How To Cite (APA)

Bharti Kumari, Himanshi Goel, Shivam Dutt Sharma, & Devesh Singh Chauhan (May-2022). Hand Gesture Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(5), 1327-1330. https://ijnrd.org/papers/IJNRD2205178.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 1327-1330

Other Publication Details

Paper Reg. ID: IJNRD_181378

Published Paper Id: IJNRD2205178

Downloads: 000121989

Research Area: Computer Science & Technology 

Country: Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2205178.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205178

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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