A Wearable Device-Based Personalized Big Data Analysis Model

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 pers...

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Bibliographic Details
Published inUbiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp. 236 - 242
Main Authors Hussain, Shujaat, Kang, Byeong Ho, Lee, Sungyoung
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
Android Application
MapReduce Programming
Real Time Manner
Wearable Computing
Wearable Device
Online AccessGet full text
ISBN9783319131016
331913101X
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-13102-3_39

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Summary: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 different applications in the future.
ISBN:9783319131016
331913101X
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-13102-3_39