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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Format: | Final Year Project (FYP) |
Language: | English |
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2015
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Online Access: | http://hdl.handle.net/10356/63570 |
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author | Koh, Wen Yi |
author2 | Khong Andy Wai Hoong |
author_facet | Khong Andy Wai Hoong Koh, Wen Yi |
author_sort | Koh, Wen Yi |
collection | NTU |
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. |
first_indexed | 2024-10-01T02:19:25Z |
format | Final Year Project (FYP) |
id | ntu-10356/63570 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T02:19:25Z |
publishDate | 2015 |
record_format | dspace |
spelling | ntu-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 |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Koh, Wen Yi Converting any surface to a touch interface |
title | 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_short | Converting any surface to a touch interface |
title_sort | converting any surface to a touch interface |
topic | DRNTU::Engineering::Electrical and electronic engineering |
url | http://hdl.handle.net/10356/63570 |
work_keys_str_mv | AT kohwenyi convertinganysurfacetoatouchinterface |