Author(s): Ashwin Raje, Ruturaj Jadhav, Ankit Pathak
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol. 3 - Issue 5 (May - 2014)
In this paper a dynamic hand gesture recognition system for a touchless writer and accessing the media player is presented. Human machine interaction is an evolving branch of computer science. Image processing involves many mathematical algorithms. Gesture recognition system is an innovative way to interact with computers. Conventional systems used for interaction with computers are hardware dependent and costly. We present a system which does not require expensive hardware. Hence it is a cost effective system. This system is very simple to use as naive users can use it easily with little practice. We are using various algorithms like gaussian blurring, RGB to HSV conversion, thresholding etc. This is a real-time system which enables users to perform gestures dynamically rather than only using static gestures.
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