A pervasive framework for real-time activity patterns of mobile users

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Given the rise of ubiquitous computing and communication devices like biosensors, smart watch, and smartphones, real-time online systems can provide users with a wide range of supports including monitoring daily activities and retrieving of personal data. User activity pattern can give an abstraction and summarization about physical behavior for certain group of people. However, one of the biggest challenges in this topic that we are facing today is the big data problem associated with large, complex, and dynamic data. In addition, as the demand for the integration and analysis of dynamic data as well as static historical data from different sources has been growing steadily, smartphones with limited capacity and computing abilities can hardly manage and process such a huge task. To address these above issues, a new framework has to be used to assist in the process, analysis, and integration of big data for a mobile platform. In this paper, I propose a distributed cloud based pervasive framework to help do complicated computing for a mobile platform. The framework has the ability to collect, process, analyze, and integrate different types of data from different sources by using state-of-the-art technologies. The purpose of this framework is to provide an intelligent and efficient approach to analyze and combine new incoming data with historical data to build and refine a solid user activity pattern.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages248-250
Number of pages3
ISBN (Electronic)9781479984251
DOIs
StatePublished - Jun 24 2015
Event13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 - St. Louis, United States
Duration: Mar 23 2015Mar 27 2015

Publication series

Name2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

Conference

Conference13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015
CountryUnited States
CitySt. Louis
Period3/23/153/27/15

Keywords

  • big data analysis
  • integration
  • mobile platform
  • pervasive framework
  • user activity pattern

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Health(social science)

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