Call For Paper Volume:4 Issue:8 Aug'2017 |


Publication Date : 17/06/2015

Author(s) :

Sachin A Urabinahatti , manjunath R Hudagi , sharkumar , Rudrappa Gujanatti.

Volume/Issue :
Volume 2
Issue 6
(06 - 2015)

Abstract :

With the ever-increasing diffusion of computers into the society, the present popular mode of interactions with computers (mouse and keyboard) will become a bottleneck in the effective utilization of information flow between the computers and the human. The use of hand gestures provides an attractive alternative to cumbersome interface for human-computer interaction (HCI). The hand can be used to communicate, with much more information by itself compared to computer mouse, joysticks, etc. allowing a greater number of possibilities for computer interaction. Developing new techniques for human-computer interaction is very challenging, in order to use hands for interaction, it is necessary to be able to recognize them in images. In this project, a robust hand gesture recognition system is designed and presented for recognizing hand gestures based on Zernike moments (ZMs) for feature extraction & Artificial Neural Network (ANN) for training & classification of gestures. The proposed system is able to recognize the gesture irrespective of the angles in which the hand gesture image is captured, which makes the system more flexible with uniform background and we have implemented a system through which the user can give commands to a wireless robot using gestures. Through this method, the user can control or navigate the robot by using gestures of his/her palm, thereby interacting with the robotic system. The command signals are generated from these gestures using image processing. These signals are then passed to the robot to navigate it in the specified directions.

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June 15, 2015