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http://dx.doi.org/10.9723/jksiis.2011.16.1.021

Laser pointer detection using neural network for human computer interaction  

Jung, Chan-Woong (경북대학교 센서및디스플레이공학과)
Jeong, Sung-Moon (경북대학교 전자전기컴퓨터공학부)
Lee, Min-Ho (경북대학교 전자공학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.16, no.1, 2011 , pp. 21-30 More about this Journal
Abstract
In this paper, an effective method to detect the laser pointer on the screen using the neural network algorithm for implementing the human-computer interaction system. The proposed neural network algorithm is used to train the patches without a laser pointer from the input camera images, the trained neural network then generates output values for an input patch from a camera image. If a small variation is perceived in the input camera image, amplify the small variations and detect the laser pointer spot in the camera image. The proposed system consists of a laser pointer, low-price web-camera and image processing program and has a detection capability of laser spot even if the background of computer monitor has a similar color with the laser pointer spot. Therefore, the proposed technique will be contributed to improve the performance of human-computer interaction system.
Keywords
Laser pointer; Neural network; Interface; HCI(Human-computer interaction);
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Times Cited By KSCI : 1  (Citation Analysis)
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