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A wearable device-based personalized big data analysis model


Hussain, S and Kang, BH and Lee, S, A wearable device-based personalized big data analysis model, Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014), 2-5 December 2014, Belfast, UK, pp. 236-242. ISSN 0302-9743 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 Springer International Publishing Switzerland

DOI: doi:10.1007/978-3-319-13102-3_39


Wearable devices and the data generated by them gives a unique opportunity to understand the user behavior and predict future needs due to its personal nature. In coming years this data will grow exponentially due to huge popularity of wearable devices. Analysis will become a challenge with the personal data explosion and also to maintain a updated knowledge base. This calls for big data analysis model for wearable devices.We propose a big data analysis model which will update the knowledge base and give users a personalized recommendations based on the analysis of the data. We have designed a personalized adaptive analysis technique for data handling and transformation. This technique also responds to information utilization APIs in a real time manner. We are using mapreduce as our big data technology and ensure that data can be used for long term analysis for di fferent applications in the future.

Item Details

Item Type:Refereed Conference Paper
Keywords:big data analysis
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information systems not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information services
Objective Field:Information services not elsewhere classified
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:98414
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2015-02-13
Last Modified:2018-03-28

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