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IJSTR >> Volume 10 - Issue 5, May 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Hand Gesture Recognition: A Review

[Full Text]

 

AUTHOR(S)

Sundus Munir, Shiza Mushtaq, Afrozah Nadeem, SyedaBinish Zahra

 

KEYWORDS

q and hidden Markov models, Depth Map, RGB color scheme, Kinect camera, leap

 

ABSTRACT

The objectiveof this paper is to introduce and identify the techniques and methods of hand gesturerecognition throughhuman computer interaction. Human-computer interaction is very essentialcomponent of most people's daily life. We have discussed some Human Computer Interaction (HCI) techniques and methods which will recognize the human hand gesture recognitionthrough different methodologies. The goal of gesture recognitionresearch is to establish a system which can classify specific human gestures and can make its use to convey information or for device control. These methods have different input types and different classifiers and techniques to identify hand gesture. This paper includes hand gesture recognition, human computer interaction systems, apps and comparative study of techniques and methods used in these systems. Applications for hand detection segmentation technique, RGB color scheme, web cam, real time tracking method q and The Markovhidden models, Depth Map methods and models are used in different researches.In this paper we have discussed maximum seven methods from the previous researches. We will analyze the best methodology of hand gesture recognition along with the pros and cons of each article.

 

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