Mobile user context identification

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Mobile user context identification

  1. 1. User Context in Mobile Applications M.RIFAD
  2. 2. Introduction  What is user context ?
  3. 3. Introduction  Identifying user location, find people around the user, the time of the day, season, orientation, speed, emotions these all can be included to define a context. Apply the relevant context detail and try to find the best match, determine what is the user is doing at at that time.
  4. 4. Computing context  network connectivity  communication cost, communication bandwidth  nearby resource User context  user profile, location, social situation Physical context  lighting, noise, traffic condition, temperature Time context  Time of a day, week, month and season of the year
  5. 5. Context aware computing  A system is context-aware if it uses context to provide relevant information and/or services to the user, where relevancy depends on the user’s task.  Time , location, user social status.  Context is always dynamic hard to predict.
  6. 6. Important of the context  context based application gather information from a certain user and adopts the application according to the user behaviors .  Introduction of PDA and smart phones.  providing highly enhance user based application to the user is totally depend on the user context.
  7. 7. Important of the context  For instance if user is in a meeting or in a class room application identify the user context and make the phone to silent mode or replying the phone calls with the automated text message without the users interaction.
  8. 8. Context based applications  A simple call forwarding system.
  9. 9. Context based applications A simple call forwarding system.  Uses location context  Activity context
  10. 10. Context based applications  Shopping assistant system.
  11. 11. Context based applications  Shopping assistant system.  Location context  Identity context.
  12. 12.  Location based tourist guide application.  App download applications.
  13. 13. Identifying the context. Sensing Location  Global Positioning System (GPS)  GPS-less Low Cost Outdoor Localization For Very Small Devices.  Mobile-IP protocol.  Mobile cells, wireless devices . Issues.  no uniform way to track locations with fine granularity that works both indoors and outdoors.
  14. 14. Identifying the context.  External Sensors and internal sensors.  User social activities.  User past data.
  15. 15. Context Processing
  16. 16. Methodology Extract the user context . Process the user context.  Logic based.  Object model. Use the processed context to make decisions.
  17. 17.  [1] Towards a Better Understanding of Context andContext-AwarenessAnind K. Dey and Gregory D. AbowdGraphics, Visualization and Usability Center and College of Computing,Georgia Institute of Technology, Atlanta, GA, USA 30332-0280  [2] Matthias BaldaufV-Research, Industrial Research and Development,Stadtstrasse 33, 6850 Dornbirn, AustriaE-mail: matthias.baldauf@vresearch.atSchahramDustdar* and Florian RosenbergDistributed Systems Group, Information Systems Institute,Vienna University of Technology, Argentinierstrasse 8/184-1, 1040 Vienna, Austria  [3]EijaKaasinenUser needs for location-aware mobile servicesReceived: 1 August 2002 / Accepted: 15 November 2002_ Springer-Verlag London Limited 2003  [4] Mobile Context Aware Systems: the intelligence tosupport tasks and effectively utiliseresourcesRussell Beale1 and Peter Lonsdale21r.beale@cs.bham.ac.ukSchool of Computer Science2p.lonsdale@bham.ac.ukSchool of EngineeringUniversity of BirminghamBirmingham B15 2TT UK  [5]Context-aware computing applications B Schilit, N Adams, R Want Mobile Computing Systems and Applications, 1994.  [6] A Survey of Context-Aware Mobile Computing Research Guanling Chen and David Kotz 2005.11. 14 Cho Jaekyu jkcho@mmlab.snu.ac  [7]Y. Kawahara, H. Kurasawa, H. Morikawa, Recognizing user context using mobile handsets with acceleration sensors, in: (IEEE) Intl. Conf. on Portable Information Devices, PORTABLE'07, 2007, pp. 15  [8] E. Welbourne, J. Lester, A. LaMarca, G. Borriello, Mobile context inference using low-cost sensors, in: Location- and Context-Awareness, in: LectureNotes on Computer Science (LNCS), vol. 3479, Springer-Verlag, 2007, pp. 254263  [9][There is more to Context than LocationAlbrecht Schmidt, Michael Beigl, and Hans-W. Gellersen Telecooperation Office (TecO), University of Karlsruhe,Vincenz-Priessnitz-Str. 1, 76131 Karlsruhe, Germany albrecht@teco.edu
  18. 18.  Taxonomyofarchitectures,contextawareness,technologies and applications Christos Emmanouilidis n, RemousArisKoutsiamanis,AimiliaTasidouHead,ComputationalSystems&Applications,Athena,Research&InnovationCentreTsimiski5 8,67100Xanthi,Greece

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