Human centric sensing by Android phones – I

In recent times, indoor establishments such as shopping malls, office buildings and even faculties within schools have become larger in size and increasingly difficult to navigate, which has led to much time lost before reaching the destination. This project aims to supplement an Indoor Navigation S...

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Main Author: Ng, Clarence.
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/55011
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-550112023-03-03T20:41:19Z Human centric sensing by Android phones – I Ng, Clarence. School of Computer Engineering Centre for Multimedia and Network Technology Luo Jun DRNTU::Engineering::Computer science and engineering In recent times, indoor establishments such as shopping malls, office buildings and even faculties within schools have become larger in size and increasingly difficult to navigate, which has led to much time lost before reaching the destination. This project aims to supplement an Indoor Navigation System that will be able to implement new locations in its database through the utilization of both variances in geo-magnetism in the locations, as well as Wi-Fi signatures of the surrounding areas. Through a central server, each map in any given location will only need to be created and mapped once. Following that, users may subsequently obtain the maps created prior for use in navigation. The application will be tested by multiple clients in the same location. By introducing Wi-Fi signatures in addition to the existing gyroscope and magnetic data into the existing application, this project aims to significantly increase accuracy and turnabout rate in the usage of both the map creation and localization functions. It also aims to increase usability through improving upon the user interface and display. The results generated by the project and application were believed to be satisfactory in terms of improving upon the accuracy of localization, as well as the map-building algorithm. The user interface has also been reworked to be more easily navigable and intuitive. Bachelor of Engineering (Computer Science) 2013-11-29T06:22:22Z 2013-11-29T06:22:22Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/55011 en Nanyang Technological University 31 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::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Ng, Clarence.
Human centric sensing by Android phones – I
description In recent times, indoor establishments such as shopping malls, office buildings and even faculties within schools have become larger in size and increasingly difficult to navigate, which has led to much time lost before reaching the destination. This project aims to supplement an Indoor Navigation System that will be able to implement new locations in its database through the utilization of both variances in geo-magnetism in the locations, as well as Wi-Fi signatures of the surrounding areas. Through a central server, each map in any given location will only need to be created and mapped once. Following that, users may subsequently obtain the maps created prior for use in navigation. The application will be tested by multiple clients in the same location. By introducing Wi-Fi signatures in addition to the existing gyroscope and magnetic data into the existing application, this project aims to significantly increase accuracy and turnabout rate in the usage of both the map creation and localization functions. It also aims to increase usability through improving upon the user interface and display. The results generated by the project and application were believed to be satisfactory in terms of improving upon the accuracy of localization, as well as the map-building algorithm. The user interface has also been reworked to be more easily navigable and intuitive.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Ng, Clarence.
format Final Year Project
author Ng, Clarence.
author_sort Ng, Clarence.
title Human centric sensing by Android phones – I
title_short Human centric sensing by Android phones – I
title_full Human centric sensing by Android phones – I
title_fullStr Human centric sensing by Android phones – I
title_full_unstemmed Human centric sensing by Android phones – I
title_sort human centric sensing by android phones – i
publishDate 2013
url http://hdl.handle.net/10356/55011
_version_ 1759854243656761344