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

Shujaat Hussain, Jae Bang, Manhyung Han, Muhammad Ahmed, Muhammad Amin, Sungyoung Lee, CD Nugent, Sally McClean, BW Scotney, Gerard Parr

Research output: Contribution to journalArticle

19 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)22001
JournalSensors
Volume14
Issue number11
DOIs
Publication statusPublished - 2014

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