Open AccessMotion and Gesture Controlling
Author(s) -
Jayvir Kher,
Sunny Rajpurohit,
Himanshu Patidar,
Gourav Patidar,
Kaushal Pathak
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206298
Subject(s) - gesture , gesture recognition , computer science , computer vision , artificial intelligence , segmentation , popularity , motion (physics) , psychology , social psychology
Hand gesture is an innovative technique of interaction between human and computer. Hand gesture recognition is a technology that is becoming increasingly relevant, given the recent growth and popularity of Virtual and Augmented Reality technologies. In this paper, we represent a novel approach for better human computer interaction (HCI) where we are using hand gesture recognition using real-time camera in order to overcome the drawbacks of existing methods and more user friendly. Our method is to use a camera and computer vision technology, such as image segmentation and gesture recognition, to control keyboard tasks and Hand motions are acquired using web camera based on color detection.