Optical based touch interface : algorithm and optimization
Recent growth of sensing technologies and expansion of microelectrics has greatly impacted the research and development of human-computer interface (HCI) technologies. With in the field of HCI, studies on touch interface come to the fore and have been widely applied to commercial applications rangin...
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sg-ntu-dr.10356-615212023-07-07T15:51:50Z Optical based touch interface : algorithm and optimization Kai, Liu School of Electrical and Electronic Engineering Andy Khong Wai Hoong DRNTU::Engineering Recent growth of sensing technologies and expansion of microelectrics has greatly impacted the research and development of human-computer interface (HCI) technologies. With in the field of HCI, studies on touch interface come to the fore and have been widely applied to commercial applications ranging from small-scale gadgets such as watches and phones, to large-scale devices such as televisions and white boards. However, with the existing technology, the cost for the setup could get significantly increased if the area of interaction increases. In the final year project, the student has explored the implementation of a low cost and large-scale multi touch interface – camera optical based touch interface. The aim of the project is to improve the performance as well as the stability of the existing prototype to achieve commercialization standards. To achieve the commercialization, both algorithm research and software engineering development have been done by the student. In terms of algorithm research, camera image processing, camera distortion correction, finger triangulation and multitouch tracking have been addressed; while in terms of software engineering, the code of the prototype project has been rewrite to be bug-free, stabilized and easy to deploy, the structure of the project has been evaluated as well. The FYP system has been successfully deployed in the newly opened Singapore River Safari as an interactive education platform. Coordination works with Wild Reserves Singapore and MAGES Institute of Excellence have been done during the deployment. Bachelor of Engineering 2014-06-11T03:53:42Z 2014-06-11T03:53:42Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61521 en Nanyang Technological University 54 p. application/pdf |
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DRNTU::Engineering Kai, Liu Optical based touch interface : algorithm and optimization |
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Recent growth of sensing technologies and expansion of microelectrics has greatly impacted the research and development of human-computer interface (HCI) technologies. With in the field of HCI, studies on touch interface come to the fore and have been widely applied to commercial applications ranging from small-scale gadgets such as watches and phones, to large-scale devices such as televisions and white boards. However, with the existing technology, the cost for the setup could get significantly increased if the area of interaction increases.
In the final year project, the student has explored the implementation of a low cost and large-scale multi touch interface – camera optical based touch interface. The aim of the project is to improve the performance as well as the stability of the existing prototype to achieve commercialization standards.
To achieve the commercialization, both algorithm research and software engineering development have been done by the student. In terms of algorithm research, camera image processing, camera distortion correction, finger triangulation and multitouch tracking have been addressed; while in terms of software engineering, the code of the prototype project has been rewrite to be bug-free, stabilized and easy to deploy, the structure of the project has been evaluated as well.
The FYP system has been successfully deployed in the newly opened Singapore River Safari as an interactive education platform. Coordination works with Wild Reserves Singapore and MAGES Institute of Excellence have been done during the deployment. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Kai, Liu |
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Final Year Project |
author |
Kai, Liu |
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Kai, Liu |
title |
Optical based touch interface : algorithm and optimization |
title_short |
Optical based touch interface : algorithm and optimization |
title_full |
Optical based touch interface : algorithm and optimization |
title_fullStr |
Optical based touch interface : algorithm and optimization |
title_full_unstemmed |
Optical based touch interface : algorithm and optimization |
title_sort |
optical based touch interface : algorithm and optimization |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/61521 |
_version_ |
1772827277731561472 |