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External Light Noise-Robust Multi-Touch Screen Using Frame Data Differential Method

Title
External Light Noise-Robust Multi-Touch Screen Using Frame Data Differential Method
Author(s)
Lee, Gwang JunLee, Sang KookLyu, Hong KunJang, Jae Eun
Issued Date
2015-09
Citation
IEEE/OSA Journal of Display Technology, v.11, no.9, pp.759 - 763
Type
Article
Author Keywords
Frame data differential (FDD) methodinfrared (IR) touch systemmulti-touch screen
Keywords
Differential MethodsDiffuse IlluminationElectrical DevicesErrorsFluorescent LightFrame DataFrame Data Differential (FDD) MethodHardware ModificationsIncandescent LampsInfrared (IR) Touch SystemLight emitting DiodesLight SourcesMulti-Touch ScreenMulti-Touch SystemsNoise EnvironmentsTouch ScreensWAVE-GUIDE
ISSN
1551-319X
Abstract
Camera based multi-touch systems with an infrared (IR) light source have been widely developed and applied to large-size interactive electrical devices. These multi-touch systems are easy to embed in large-sized screens because of their simple structure; however, touch errors due to external IR noise need to be resolved in various applications. An environment with incandescent lamps or sun light has a higher touch error ratio than that with fluorescent lights or LEDs because the aforementioned contain enough IR rays to induce a signal error. To solve this problem, the frame data differential (FDD) method was employed in a multi-touch system along with the rear side diffuse illumination method. The FDD method removed well the IR noise signal without any additional hardware modification to the touch system, and the touch accuracy and sensitivity were dramatically improved in a high IR noise environment compared with the conventional touch sensing method. © 2005-2012 IEEE.
URI
http://hdl.handle.net/20.500.11750/1565
DOI
10.1109/JDT.2015.2438317
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • 류홍근 Lyu, Hong-Kun
  • Research Interests Image-based AI application;Real-time AI system;AI-AMR System;AI farming machinery
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Appears in Collections:
Department of Electrical Engineering and Computer Science Advanced Electronic Devices Research Group(AEDRG) - Jang Lab. 1. Journal Articles
Division of AI, Big data and Block chain 1. Journal Articles

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