Hand Gestures and Posture Recognition to Control Television Using Haar-Like Features

R., Dewi Agushinta and Haryanto, Haryanto and K, Adriani Yulida and Permadi, Ryan and M., Yohanes Hand Gestures and Posture Recognition to Control Television Using Haar-Like Features. Jurnal Ilmiah Program Ilmu Komputer. (Submitted)

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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.

Item Type: Article
Uncontrolled Keywords: computer vision; gestures database; Haar-Like features; hand gestures; posture; recognition
Subjects: A General Works > AI Indexes (General)
Divisions: Fakultas Ilmu Komputer dan Teknologi Informasi > Program Studi Sistem Informasi
Depositing User: Mr Reza Chandra
Date Deposited: 28 Feb 2014 08:50
Last Modified: 28 Feb 2014 08:50
URI: http://repository.gunadarma.ac.id/id/eprint/1084

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