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http://hdl.handle.net/123456789/2172
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| 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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