Statina – touch interface engine

Human-computer interface (HCI) technologies have been moving away from buttons and pointing devices towards more intuitive options, most notably the touch screen. Current touch screen technologies are costly, especially for large screens since special screens are used. In the STATINA project, an aff...

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Main Author: Huang, Jiesi.
Other Authors: School of Electrical and Electronic Engineering
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49340
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-493402023-07-07T16:14:18Z Statina – touch interface engine Huang, Jiesi. School of Electrical and Electronic Engineering Andy Khong Wai Hoong DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Human-computer interface (HCI) technologies have been moving away from buttons and pointing devices towards more intuitive options, most notably the touch screen. Current touch screen technologies are costly, especially for large screens since special screens are used. In the STATINA project, an affordable touch screen option is presented as shock sensors are used to transform ordinary surfaces into touch screens. In this project, an overall understanding of the project is gained, leading to an exploration on the distinction between finger and fingernail tap signals. Eight methods to distinguish between these two signals are explored, including analysis of the time-domain signals, frequency-domain signals (linear and in dB), cross-correlation, signal sparseness measure, Kullback-Leibler distance and counting the number of zero crossings (using the smoothed and non-smoothed time-domain signals). The results show that smoothed zero crossings is the best method to distinguish between the two types of signals, followed by using cross-correlation, the sparseness measure, and finally the KLID. The other methods explored did not give conclusive results. These results can be used to reject signals from finger taps, which would increase the system accuracy but decrease its sensitivity. Further study can also be made from these differences found, to find a way to increase the accuracy of the system towards finger taps. Bachelor of Engineering 2012-05-17T08:11:02Z 2012-05-17T08:11:02Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/49340 en Nanyang Technological University 108 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::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Huang, Jiesi.
Statina – touch interface engine
description Human-computer interface (HCI) technologies have been moving away from buttons and pointing devices towards more intuitive options, most notably the touch screen. Current touch screen technologies are costly, especially for large screens since special screens are used. In the STATINA project, an affordable touch screen option is presented as shock sensors are used to transform ordinary surfaces into touch screens. In this project, an overall understanding of the project is gained, leading to an exploration on the distinction between finger and fingernail tap signals. Eight methods to distinguish between these two signals are explored, including analysis of the time-domain signals, frequency-domain signals (linear and in dB), cross-correlation, signal sparseness measure, Kullback-Leibler distance and counting the number of zero crossings (using the smoothed and non-smoothed time-domain signals). The results show that smoothed zero crossings is the best method to distinguish between the two types of signals, followed by using cross-correlation, the sparseness measure, and finally the KLID. The other methods explored did not give conclusive results. These results can be used to reject signals from finger taps, which would increase the system accuracy but decrease its sensitivity. Further study can also be made from these differences found, to find a way to increase the accuracy of the system towards finger taps.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Huang, Jiesi.
format Final Year Project
author Huang, Jiesi.
author_sort Huang, Jiesi.
title Statina – touch interface engine
title_short Statina – touch interface engine
title_full Statina – touch interface engine
title_fullStr Statina – touch interface engine
title_full_unstemmed Statina – touch interface engine
title_sort statina – touch interface engine
publishDate 2012
url http://hdl.handle.net/10356/49340
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