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A wearable device-based personalized big data analysis model
conference contribution
posted on 2023-05-23, 09:53 authored by Hussain, S, Byeong KangByeong Kang, Lee, SWearable 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.
History
Publication title
Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014)Volume
8867Editors
R Hervas, S Lee, C Nugent, J BravoPagination
236-242ISSN
0302-9743Department/School
School of Information and Communication TechnologyPublisher
Springer International PublishingPlace of publication
New York, USAEvent title
8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014)Event Venue
Belfast, UKDate of Event (Start Date)
2014-12-02Date of Event (End Date)
2014-12-05Rights statement
Copyright 2014 Springer International Publishing SwitzerlandRepository Status
- Restricted