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

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journal contribution
posted on 2023-05-19, 14:02 authored by Hussain, S, Bang, JH, Han, M, Ahmed, MI, Muhammad Bilal AminMuhammad Bilal Amin, Lee, S, Nugent, C, McClean, S, Scotney, B, Gerard, P
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.

History

Publication title

Sensors

Volume

14

Issue

11

Pagination

22001-22020

ISSN

1424-8220

Department/School

School of Information and Communication Technology

Publisher

Molecular Diversity Preservation International

Place of publication

Matthaeusstrasse 11, Basel, Switzerland, Ch-4057

Rights statement

Copyright 2014 The Authors Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

Repository Status

  • Open

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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