Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce

Cloud computing has revolutionized healthcare in today’s world as it can be seamlessly integrated into a mobile application and sensor devices. The sensory data is then transferred from these devices to the public and private clouds. In this paper, a hybrid and distributed environment is built which...

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Main Authors: Shujaat Hussain, Jae Hun Bang, Manhyung Han, Muhammad Idris Ahmed, Muhammad Bilal Amin, Sungyoung Lee, Chris Nugent, Sally McClean, Bryan Scotney, Gerard Parr
Format: Article
Language:English
Published: MDPI AG 2014-11-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/11/22001
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spelling doaj-86ceefedbcac4f4f9d8a4abb3222a67c2020-11-24T21:45:47ZengMDPI AGSensors1424-82202014-11-011411220012202010.3390/s141122001s141122001Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduceShujaat Hussain0Jae Hun Bang1Manhyung Han2Muhammad Idris Ahmed3Muhammad Bilal Amin4Sungyoung Lee5Chris Nugent6Sally McClean7Bryan Scotney8Gerard Parr9Department of Computer Engineering, Kyung Hee University, Suwon 446-701, KoreaDepartment of Computer Engineering, Kyung Hee University, Suwon 446-701, KoreaDepartment of Computer Engineering, Kyung Hee University, Suwon 446-701, KoreaDepartment of Computer Engineering, Kyung Hee University, Suwon 446-701, KoreaDepartment of Computer Engineering, Kyung Hee University, Suwon 446-701, KoreaDepartment of Computer Engineering, Kyung Hee University, Suwon 446-701, KoreaSchool of Computing and Information Engineering, University of Ulster, Newtownabbey, Co. Antrim, BT38 0QB, UKSchool of Computing and Information Engineering, University of Ulster, Coleraine, Co. Londonderry, BT52 1SA, UKSchool of Computing and Information Engineering, University of Ulster, Coleraine, Co. Londonderry, BT52 1SA, UKSchool of Computing and Information Engineering, University of Ulster, Coleraine, Co. Londonderry, BT52 1SA, UKCloud computing has revolutionized healthcare in today’s world as it can be seamlessly integrated into a mobile application and sensor devices. The sensory data is then transferred from these devices to the public and private clouds. In this paper, a hybrid and distributed environment is built which is capable of collecting data from the mobile phone application and store it in the cloud. We developed an activity recognition application and transfer the data to the cloud for further processing. Big data technology Hadoop MapReduce is employed to analyze the data and create user timeline of user’s activities. These activities are visualized to find useful health analytics and trends. In this paper a big data solution is proposed to analyze the sensory data and give insights into user behavior and lifestyle trends.http://www.mdpi.com/1424-8220/14/11/22001activity recognitionmobile cloudMapReducebehavior analysisbig data
collection DOAJ
language English
format Article
sources DOAJ
author Shujaat Hussain
Jae Hun Bang
Manhyung Han
Muhammad Idris Ahmed
Muhammad Bilal Amin
Sungyoung Lee
Chris Nugent
Sally McClean
Bryan Scotney
Gerard Parr
spellingShingle Shujaat Hussain
Jae Hun Bang
Manhyung Han
Muhammad Idris Ahmed
Muhammad Bilal Amin
Sungyoung Lee
Chris Nugent
Sally McClean
Bryan Scotney
Gerard Parr
Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
Sensors
activity recognition
mobile cloud
MapReduce
behavior analysis
big data
author_facet Shujaat Hussain
Jae Hun Bang
Manhyung Han
Muhammad Idris Ahmed
Muhammad Bilal Amin
Sungyoung Lee
Chris Nugent
Sally McClean
Bryan Scotney
Gerard Parr
author_sort Shujaat Hussain
title Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
title_short Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
title_full Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
title_fullStr Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
title_full_unstemmed Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
title_sort behavior life style analysis for mobile sensory data in cloud computing through mapreduce
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2014-11-01
description Cloud computing has revolutionized healthcare in today’s world as it can be seamlessly integrated into a mobile application and sensor devices. The sensory data is then transferred from these devices to the public and private clouds. In this paper, a hybrid and distributed environment is built which is capable of collecting data from the mobile phone application and store it in the cloud. We developed an activity recognition application and transfer the data to the cloud for further processing. Big data technology Hadoop MapReduce is employed to analyze the data and create user timeline of user’s activities. These activities are visualized to find useful health analytics and trends. In this paper a big data solution is proposed to analyze the sensory data and give insights into user behavior and lifestyle trends.
topic activity recognition
mobile cloud
MapReduce
behavior analysis
big data
url http://www.mdpi.com/1424-8220/14/11/22001
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