REAL TIME HAND GESTURE RECOGNITION BASED IMAGE VIEWER

Sujit Wankhade,A.C Lomte

doi:10.21474/ijar01/11454

Abstract

2 Abstract: The study related to human machine interaction has been done intensively to improve the ways human communication with the machine. The means of communicating with computers at the moment are limited to keyboards, mice, light pen, trackball, keypads, etc. These devices have grown to be familiar but inherently limit the speed and naturalness with which we interact with the computer. This paper proposes to use image processing and gesture recognition to simulate an environment where performing technical activities will become more like real- world. The system proposes a real time human hand gesture recognition based system which interacts with the machine and processes the image. The classification of the gesture is based on the direction and gesture of the movement of the human hand. The motion of the hand will be captured and then the keyboard press actions are processed. Depending on this the image will move accordingly left, right, zoom in and zoom out.

Highlights

Human-Machine Interaction based study has been done intensively to improve the ways human communication with the machine
The means of communicating with computers at the moment are limited to keyboards, mice, light pen, trackball, keypads, etc
This paper proposes to use image processing and gesture recognition to simulate an environment where performing technical activities will become more like “real-world”

Summary

Introduction

Human-Machine Interaction based study has been done intensively to improve the ways human communication with the machine. Human body gestures start to take part in the research after the idea of touch-less based interaction is introduced. Interaction using body gestures are much easier for the user to understand, making the learning process since it does not need an intensive training to learn the gestures.

Results

Conclusion