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

Hussain, Shujaat, Bang, Jae, Han, Manhyung, Ahmed, Muhammad, Amin, Muhammad, Lee, Sungyoung, Nugent, CD, McClean, Sally, Scotney, BW and Parr, Gerard (2014) Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce. Sensors, 14 (11). p. 22001. [Journal article]

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URL: http://dx.doi.org/10.3390/s141122001

DOI: doi:10.3390/s141122001

Abstract

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.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:30836
Deposited By: Professor Christopher Nugent
Deposited On:20 Jan 2015 14:45
Last Modified:20 Jan 2015 14:45

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