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2015 International Conference on Big Data and Smart Computing (BigComp) (2015)
Jeju, South Korea
Feb. 9, 2015 to Feb. 11, 2015
ISBN: 978-1-4799-7303-3
pp: 244-248
Muhammad Idris , Department of Computer Engineering, Kyung Hee University, South Korea
Shujaat Hussain , Department of Computer Engineering, Kyung Hee University, South Korea
Mahmood Ahmad , Department of Computer Engineering, Kyung Hee University, South Korea
Sungyoung Lee , Department of Computer Engineering, Kyung Hee University, South Korea
ABSTRACT
The advancement in new technologies and their data generation at substantial rate gave birth to the Big Data and requires a robust platform to capture, retrieve, store, and process it. Data generated by Human centric services and applications such as sensors, healthcare applications, social networks, and smart-phones need to be collected and processed to provide in-depth knowledge. In this paper, we propose Hadoop Distributed File System (HDFS) as convergence platform where all these multi-structured data is stored and use Hadoop No-SQL solutions to build warehouse for applications real time access to the data. We manage users clinical, personalized, and feedback data to provide clinical, physical, social, and mental health monitoring platform. We implement a Big Data service engine which provides storage services to health monitoring systems and analytics services to visualize and monitor clinical information, physical activities and emotions performed by the users. Our prototype system successfully integrates various technology platforms and provide centralized health monitoring system.
INDEX TERMS
Data visualization, Big data, Engines, Medical services, Monitoring, Sensors, Emotion recognition
CITATION

M. Idris, S. Hussain, M. Ahmad and S. Lee, "Big Data service engine (BISE): Integration of Big Data technologies for human centric wellness data," 2015 International Conference on Big Data and Smart Computing (BigComp)(BIGCOMP), Jeju, South Korea, 2015, pp. 244-248.
doi:10.1109/35021BIGCOMP.2015.7072838
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