Converting any surface to a touch interface

In this project, optical-based touch technology is used to convert a static large display to a touch-enabled screen by making use of two wide-angle lens cameras to detect the position of the user’s finger. However, finger localisation, an essential part of the system, is inaccurate at times. After a...

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Main Author: Koh, Wen Yi
Other Authors: Khong Andy Wai Hoong
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63570
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-635702023-07-07T15:46:51Z Converting any surface to a touch interface Koh, Wen Yi Khong Andy Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this project, optical-based touch technology is used to convert a static large display to a touch-enabled screen by making use of two wide-angle lens cameras to detect the position of the user’s finger. However, finger localisation, an essential part of the system, is inaccurate at times. After analysing the possible causes of the issue, two methods have been tried and compared to find the most effective solution. These methods are: to correct the distortion in the cameras separately, and to increase the number of calibration points. Bachelor of Engineering 2015-05-15T03:22:30Z 2015-05-15T03:22:30Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63570 en Nanyang Technological University 47 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Koh, Wen Yi
Converting any surface to a touch interface
description In this project, optical-based touch technology is used to convert a static large display to a touch-enabled screen by making use of two wide-angle lens cameras to detect the position of the user’s finger. However, finger localisation, an essential part of the system, is inaccurate at times. After analysing the possible causes of the issue, two methods have been tried and compared to find the most effective solution. These methods are: to correct the distortion in the cameras separately, and to increase the number of calibration points.
author2 Khong Andy Wai Hoong
author_facet Khong Andy Wai Hoong
Koh, Wen Yi
format Final Year Project
author Koh, Wen Yi
author_sort Koh, Wen Yi
title Converting any surface to a touch interface
title_short Converting any surface to a touch interface
title_full Converting any surface to a touch interface
title_fullStr Converting any surface to a touch interface
title_full_unstemmed Converting any surface to a touch interface
title_sort converting any surface to a touch interface
publishDate 2015
url http://hdl.handle.net/10356/63570
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