eCite Digital Repository
Behavior life style analysis for mobile sensory data in cloud computing through MapReduce
Citation
Hussain, S and Bang, JH and Han, M and Ahmed, MI and Amin, MB and Lee, S and Nugent, C and McClean, S and Scotney, B and Gerard, P, Behavior life style analysis for mobile sensory data in cloud computing through MapReduce, Sensors, 14, (11) pp. 22001-22020. ISSN 1424-8220 (2014) [Refereed Article]
 | PDF 411Kb |
Copyright Statement
Copyright 2014 The Authors Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
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 Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | activity recognition, mobile cloud, MapReduce, behavior analysis, big data |
| Research Division: | Information and Computing Sciences |
| Research Group: | Distributed computing and systems software |
| Research Field: | Distributed systems and algorithms |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information systems, technologies and services |
| Objective Field: | Information systems, technologies and services not elsewhere classified |
| UTAS Author: | Amin, MB (Dr Muhammad Bilal Amin) |
| UTAS Author: | Lee, S (Professor Sungyoung Lee) |
| ID Code: | 122918 |
| Year Published: | 2014 |
| Web of Science® Times Cited: | 17 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2017-12-06 |
| Last Modified: | 2021-03-25 |
| Downloads: | 150 View Download Statistics |
Repository Staff Only: item control page