AccScience Publishing / IJOSI / Volume 7 / Issue 7 / DOI: 10.6977/IJoSI.202309_7(7).003
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Dynamic hand gesture tracking and recognition: Survey of different phases

Shweta Saboo1* ,  Joyeeta Singha2
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1 Department of Electronics and Communication Engineering, JECRC, Jaipur, Rajasthan, INDIA
2 Department of Electronics and Communication Engineering, The LNMIIT, Jaipur, Rajasthan, INDIA
IJOSI 2023 , 7(7), 47–70; https://doi.org/10.6977/IJoSI.202309_7(7).003
Submitted: 30 November 2022 | Revised: 24 August 2023 | Accepted: 1 September 2023 | Published: 25 September 2023
© 2023 by the Author(s). Licensee AccScience Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Hand gesture plays an important role in controlling various appliances and gadgets nowadays. Recognition of proper gestures with the help of multiple techniques is vital for the hardware interfaced with it. Work has been done on various steps of the process of hand gesture recognition. Starting with video acquisition and pre-processing, hand detection and tracking, and feature extraction finally lead to classification and recognition. This paper provides a detailed review of state-of-art techniques used in recent hand gesture recognition techniques. We have also discussed the advantages and disadvantages of various techniques and the reason behind moving to another method. It is hoped that this study might provide researchers with a comprehensive descriptionof the hand gesture recognition techniques thatmay help in pattern recognition, computer vision, and artificial intelligence.

Keywords
Computer vision
Hand Gesture
Hand Gesture Dataset
Hand Tracking
Machine learning
Recognition
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International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing
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