Context awareness through identifying user activities and positioning

Context awareness is an important element in the pervasive and ubiquitous computing. It involves the ability of the computing system to be aware of the context in which a particular target user is experiencing. This involves the location in which the target is, the activity that the target is doing,...

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Main Authors: Rahman, M.M. Hafizur, Ayu, Media Anugerah, Abdul Matin, Ahmad Faridi
Format: Proceeding Paper
Language:English
Published: 2014
Subjects:
Online Access:http://irep.iium.edu.my/37230/1/37230.pdf
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author Rahman, M.M. Hafizur
Ayu, Media Anugerah
Abdul Matin, Ahmad Faridi
author_facet Rahman, M.M. Hafizur
Ayu, Media Anugerah
Abdul Matin, Ahmad Faridi
author_sort Rahman, M.M. Hafizur
collection IIUM
description Context awareness is an important element in the pervasive and ubiquitous computing. It involves the ability of the computing system to be aware of the context in which a particular target user is experiencing. This involves the location in which the target is, the activity that the target is doing, the identity of that target and the time in which the activity occur. The focus of the project is to determine the location and activity aspects that would be utilized in the prediction of the context of the user. It has been shown that accelerometer data could be used for activity recognition. i.e. knowing the user’s activities such as walking, standing, sitting etc. However, user location could be found using various methods, Geo-location being one of these methods. Once these two elements are known we propose the use of HMM to predict the context of the user.
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spelling oai:generic.eprints.org:372302018-06-19T07:59:48Z http://irep.iium.edu.my/37230/ Context awareness through identifying user activities and positioning Rahman, M.M. Hafizur Ayu, Media Anugerah Abdul Matin, Ahmad Faridi TK Electrical engineering. Electronics Nuclear engineering Context awareness is an important element in the pervasive and ubiquitous computing. It involves the ability of the computing system to be aware of the context in which a particular target user is experiencing. This involves the location in which the target is, the activity that the target is doing, the identity of that target and the time in which the activity occur. The focus of the project is to determine the location and activity aspects that would be utilized in the prediction of the context of the user. It has been shown that accelerometer data could be used for activity recognition. i.e. knowing the user’s activities such as walking, standing, sitting etc. However, user location could be found using various methods, Geo-location being one of these methods. Once these two elements are known we propose the use of HMM to predict the context of the user. 2014-06-11 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/37230/1/37230.pdf Rahman, M.M. Hafizur and Ayu, Media Anugerah and Abdul Matin, Ahmad Faridi (2014) Context awareness through identifying user activities and positioning. In: International Research, Invention and Innovation Exhibition 2014 (IRIIE2014), 11th -13th June 2014, Cultural Activity Center (CAC), Internatioanal Islamic University Malaysia.
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Rahman, M.M. Hafizur
Ayu, Media Anugerah
Abdul Matin, Ahmad Faridi
Context awareness through identifying user activities and positioning
title Context awareness through identifying user activities and positioning
title_full Context awareness through identifying user activities and positioning
title_fullStr Context awareness through identifying user activities and positioning
title_full_unstemmed Context awareness through identifying user activities and positioning
title_short Context awareness through identifying user activities and positioning
title_sort context awareness through identifying user activities and positioning
topic TK Electrical engineering. Electronics Nuclear engineering
url http://irep.iium.edu.my/37230/1/37230.pdf
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AT ayumediaanugerah contextawarenessthroughidentifyinguseractivitiesandpositioning
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