Human centric sensing by Android phones - III

With the increase of smartphones, sensing capabilities can be found on an average individual out on the streets. The application of such sensing capabilities can be explored to solve problems through the use of smartphones. With the evolution of shopping malls, shopping malls get bigger and compl...

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Main Author: Toh, Yio Kiang.
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/52018
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-520182023-03-03T20:50:21Z Human centric sensing by Android phones - III Toh, Yio Kiang. School of Computer Engineering Centre for Multimedia and Network Technology Luo Jun DRNTU::Engineering With the increase of smartphones, sensing capabilities can be found on an average individual out on the streets. The application of such sensing capabilities can be explored to solve problems through the use of smartphones. With the evolution of shopping malls, shopping malls get bigger and complex. As Global Positioning System (GPS) can only be used outdoors, shoppers have to rely on information counters, store directories or passer-bys for help when they get lost. Thus with the sensing capabilities of a smartphone, a smartphone mobile application can be developed to aid in locating and navigating users in an indoor shopping mall. According to a survey conducted and tests on similar indoor localisation mobile applications on market, these applications use Wifi sensing to locate a user. Wifi sensing relies on infrastructures such as hotspots that can be removed or changed over time. Thus for this project, an indoor localisation mobile application based on sensing capabilities on the smartphone, and without reliance on infrastructures will be explored and developed on Android operating system. Human networks will also be relied on to collect data for building of floor maps. In this report, an indoor localisation mobile application has been explored and developed to locate and navigate users based on magnetic fields and gyroscope data. Prior researched and understanding was conducted before the development of the project. Bachelor of Engineering (Computer Science) 2013-04-19T04:42:12Z 2013-04-19T04:42:12Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52018 en Nanyang Technological University 63 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
spellingShingle DRNTU::Engineering
Toh, Yio Kiang.
Human centric sensing by Android phones - III
description With the increase of smartphones, sensing capabilities can be found on an average individual out on the streets. The application of such sensing capabilities can be explored to solve problems through the use of smartphones. With the evolution of shopping malls, shopping malls get bigger and complex. As Global Positioning System (GPS) can only be used outdoors, shoppers have to rely on information counters, store directories or passer-bys for help when they get lost. Thus with the sensing capabilities of a smartphone, a smartphone mobile application can be developed to aid in locating and navigating users in an indoor shopping mall. According to a survey conducted and tests on similar indoor localisation mobile applications on market, these applications use Wifi sensing to locate a user. Wifi sensing relies on infrastructures such as hotspots that can be removed or changed over time. Thus for this project, an indoor localisation mobile application based on sensing capabilities on the smartphone, and without reliance on infrastructures will be explored and developed on Android operating system. Human networks will also be relied on to collect data for building of floor maps. In this report, an indoor localisation mobile application has been explored and developed to locate and navigate users based on magnetic fields and gyroscope data. Prior researched and understanding was conducted before the development of the project.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Toh, Yio Kiang.
format Final Year Project
author Toh, Yio Kiang.
author_sort Toh, Yio Kiang.
title Human centric sensing by Android phones - III
title_short Human centric sensing by Android phones - III
title_full Human centric sensing by Android phones - III
title_fullStr Human centric sensing by Android phones - III
title_full_unstemmed Human centric sensing by Android phones - III
title_sort human centric sensing by android phones - iii
publishDate 2013
url http://hdl.handle.net/10356/52018
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