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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2172

Title: Hand Gestures and Posture Recognition to Control Television Using Haar-Like Features
Authors: Agushinta R, Dewi
Haryanto
Yulida K, Adriani
Keywords: Haar-Like features
gestures database
computer vision
Issue Date: 24-Nov-2010
Publisher: Universitas Gunadarma
Series/Report no.: Proceedings of The Second International Workshop on Open source and Open Content WOSOC 2010;14
Abstract: Earlier time, control of television was only using a specific key or the remote. The development of ever-changing technology led to changes in a way to control the television. Changes in the way should be happen so people can interact with interactive television and user friendly. Because of the demands of time, now it no longer just a television with remote control only. But it can be also done by doing hand gesture. The hand gestures that are performed by humans will be recorded by a camera and then turned it into a command code which commands the television to do something. In this paper, we have two model structures. The first structure use computer, camera, and television. In this structure, the overall process will be performed by the computer. The second structure uses a television which has been embedded with a camera. The overall process will be performed by the television itself. In the recognition posture process, we use Haar-Like Features algorithm. This article is a proposal of idea to make a better communication between human and television.
URI: http://hdl.handle.net/123456789/2172
ISBN: 978-602-98168-0-8
Appears in Collections:Published Article Komputer

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