HAND GESTURE CONTROLLED INTERFACES

COMPUTER ENGINEERING

Hand gesture recognition is widely used for Human Computer Interaction in the recent years as it provides an user friendly way of interaction with the computer. Touch-less user interface is an emerging type of technology in relation to gesture control through which the computer can be controlled via body motion and gestures without touching the input devices like keyboard, mouse, or screen. Gesture recognition is applied in areas like sign language, gaming, home automation, robot control and other aspects. This paper aims to provide the users to control the computer devices with their simple hand gestures. This project involves detection and identification of live motion. This application makes use of the inbuilt webcam to detect the gestures of the users and perform some basic operations. When the user performs a particular gesture, the webcam captures those images, identify and recognizes against a set of known gestures then performs the corresponding action. This application can run in the background while the users run other programs. The main objective is to enable the user to control media player, YouTube using simple gestures to increase or decrease the volume, seek forward, backward while sitting far from the computer screen without touching the input devices. This is done by extracting the hand region from the background with the background subtraction method. Then, the palm and finger regions are segmented so as to detect and recognize the fingers. Finally, a rule classifier is applied to predict the labels of hand gestures, then the respective operation is performed.

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