Paper Title
Hand Gesture Recognition
Article Identifiers
Authors
Gagandeep Singh Narula , Aniket Singh Rawat
Keywords
Abstract
Hand gesture recognition deals with the development of systems that can recognize and interpret hand gestures made by humans. This technology has a wide range of applications, including sign language interpretation, virtual and augmented reality, and human-computer interaction. In this paper, we review the current state of the art in hand gesture recognition, including depth sensors, machine learning algorithms, and wearable devices. We also discuss the challenges and future directions of this field.
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How To Cite (APA)
Gagandeep Singh Narula & Aniket Singh Rawat (January-2023). Hand Gesture Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(1), c348-c353. https://ijnrd.org/papers/IJNRD2301250.pdf
Issue
Volume 8 Issue 1, January-2023
Pages : c348-c353
Other Publication Details
Paper Reg. ID: IJNRD_185894
Published Paper Id: IJNRD2301250
Downloads: 000121982
Research Area: Engineering
Country: NEW DELHI, Delhi, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2301250.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301250
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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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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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