Behavior life style analysis for mobile sensory data in cloud computing through MapReduce

Hussain, Shujaat, Bang, Jae Hun, Han, Manhyung, Ahmed, Muhammad Idris, Amin, Muhammad Bilal, Lee, Sungyoung, Nugent, Chris, McClean, Sally, Scotney, Bryan and Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132 (2014) Behavior life style analysis for mobile sensory data in cloud computing through MapReduce. Sensors, 14 (11). pp. 22001-22020. ISSN 1424-8220

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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:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Data Science and AI
Depositing User:	Pure Connector
Date Deposited:	31 Oct 2016 17:00
Last Modified:	19 Dec 2024 00:51
URI:	https://ueaeprints.uea.ac.uk/id/eprint/61187
DOI:	10.3390/s141122001

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