Hand gestures can be categorized as static gestures or dynamic gestures. Hand gestures prove to be an intuitive means of communication with various interfaces. They find application in robotics and automation, virtual reality, video based surveillance and many other applications. It plays a major role in the development of intelligent products and applications. Gesture Recognition is a natural technique for human computer interaction. It will find large applications in gaming world, gesture controlled remote controls. It is fast, interactive and easy to learn. Gesture recognition is a promising mode of human computer interaction in future. Peer-review under responsibility of the Organizing Committee of ICCCV 2016 doi:10.1016/j.procs.2016.03.037Įnvironment.
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In addition, they lack the sense within a simulated The traditional modes of interaction which include keyboard and mouse will soon become obsolete. With the changing technology, people are trying to find new techniques for interacting with computers.
The aim is to make the interaction natural and intuitive. This has led to increased attention towards human computer interaction. Today, computers have become an integral part of our lifestyle. In the recent years there has been extensive growth in the field of information technology. Peer-review under responsibility of the Organizing Committee of ICCCV 2016 Keywords: Open CV Computer Vision Hand Gesture. Procedía Computer Science 79 (2016) 287 - 292ħth International Conference on Communication, Computing and Virtualization 2016ĭesign of Intangible Interface for Mouseless Computer HandlingĪDepartment of Industrial Design, NIT Rourkela,Rourkela- 769008, India bDepartment of Industrial Design, NIT Rourkela, Rourkela-769008, India to make it more natural but keeping the cost factor in mind. The main aim is to improve the interaction of human with the computer i.e. It is a fast learning method and does not require extensive training of data facilitating low computational speed and cost. The developed system is compatible with a diverse group of users. The static hand gestures developed make use of feature extraction method. The contour of the binary hand image is extracted to draw the convex hull around it as an envelope. An image of the human hand is read from the webcam and the hand is segmented to obtain a binary image. Mouse operations like left click, right click and double click are performed by hand gestures. In this paper, an approach for developing an intangible interface with the help of computer vision technology for human computer interaction using static hand gestures has been discussed. All Rights Reserved.Abstract of research paper on Computer and information sciences, author of scientific article - Alisha Pradhan, B.B.V.L. All content of the Dow Jones branded indices © S&P Dow Jones Indices LLC 2019 and/or its affiliates. Standard & Poor's and S&P are registered trademarks of Standard & Poor's Financial Services LLC and Dow Jones is a registered trademark of Dow Jones Trademark Holdings LLC. Dow Jones: The Dow Jones branded indices are proprietary to and are calculated, distributed and marketed by DJI Opco, a subsidiary of S&P Dow Jones Indices LLC and have been licensed for use to S&P Opco, LLC and CNN. Chicago Mercantile Association: Certain market data is the property of Chicago Mercantile Exchange Inc. Factset: FactSet Research Systems Inc.2019. Market indices are shown in real time, except for the DJIA, which is delayed by two minutes.
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