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

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...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2014-11, Vol.14 (11), p.22001-22020
Main Authors: Hussain, Shujaat, Bang, Jae Hun, Han, Manhyung, Ahmed, Muhammad Idris, Amin, Muhammad Bilal, Lee, Sungyoung, Nugent, Chris, McClean, Sally, Scotney, Bryan, Parr, Gerard
Format: Article
Language:English
Subjects:
activity recognition
Applications programs
behavior analysis
big data
Cellular telephones
Cloud computing
Data management
Devices
MapReduce
mobile cloud
Mobile communication systems
Sensors
Smartphones
Stores
Trends
User behavior
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s141122001