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Universal Access in the Information Society

, Volume 10, Issue 2, pp 111–114 | Cite as

Pervasive technologies and assistive environments: social impact, financial, government and privacy issues

  • Ilias MaglogiannisEmail author
  • Fillia Makedon
  • Grammati Pantziou
  • Lynne Baillie
Editorial

Today, we live the era of pervasive and mobile computing, where the trend in modern ICT-based applications is towards achieving two specific goals: the availability of software applications and information anywhere and anytime and the invisibility of computing [1]. Applications and interfaces that will be able to automatically process data provided by devices and sensors, exchange knowledge and make intelligent decisions in a given context, are strongly desirable. Natural user interactions with such applications are based on autonomy, avoiding the need for the user to control every action, and adaptivity so that they are contextualized and personalized, delivering the right information and decision at the right moment [2, 3]. The home as the main people’s living environment is particularly important, taken into account the world’s ageing population and the fact that elder and disabled people rely more on technology in our days [4]. Providing assistance at home through pervasive sensor...

Keywords

Sensor Network Location Privacy Robot Guide Haptic Effect Assistive Environment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Varshney, U.: Pervasive healthcare. IEEE Comput. Mag. 36(12), 138–140 (2003)Google Scholar
  2. 2.
    Doukas, C., Maglogiannis, I.: Point of care monitoring using advanced location based and context-aware services. Hospital Inf. Technol. Euro. 1(2) (2008). http://www.hospitaliteurope.com
  3. 3.
    Maglogiannis, I.: Introducing intelligence in electronic healthcare systems: state of the art and future trends. AI Int. Persp. Lect. Notes Artif. Intell. 5640, 71–90 (2009)Google Scholar
  4. 4.
    Holzinger, A., Schaupp, K., Eder-Halbedl, W.: “An investigation on acceptance of ubiquitous devices for the elderly in a geriatric hospital environment: Using the example of person tracking”. In: Proceedings of the 11th international conference on computers helping people with special needs, pp. 22–19 (2008)Google Scholar
  5. 5.
    Wood, A., Stankovic, J., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L., Stoleru, R.: Context-aware wireless sensor networks for assisted-living and residential monitoring. IEEE Network 22, 26–33 (2008)CrossRefGoogle Scholar
  6. 6.
    Sorathia, K., Joshi, A.: “My world—Social networking through mobile computing and context aware application,” Intelligent interactive assistance and mobile multimedia computing: International conference, IMC 2009, Rostock-Warnemünde, Germany, November 9–11, 2009. Proceedings, Springer, p. 179 (2009)Google Scholar
  7. 7.
    Coyle, L., Neely, S., Stevenson, G., Sullivan, M., Dobson, S., Nixon, P.: Sensor fusion-based middleware for smart homes. IJARM 8(2), 53–60 (2007)Google Scholar
  8. 8.
    Paganelli F., Spinicci E., Mamelli A., Bernazzani R., Barone P.: ERMHAN: A multi-channel context-aware platform to support mobile caregivers in continuous care networks, In: Proceedings of IEEE international conference in pervasive technologies. pp. 355–360 (2007)Google Scholar
  9. 9.
    Mihailidis, A., Carmichael, B., Boger, J.: The use of computer vision in an intelligent environment to support aging-in-place, safety, and independence in the home. IEEE Trans. Inf. Technol. Biomed. 8(3), 238–247 (2004)CrossRefGoogle Scholar
  10. 10.
    Makedon, F., Le, Z., Huang, H., Becker, E., Kosmopoulos, D.: An event driven framework for assistive CPS environments. SIGBED Rev. 6 (2009)Google Scholar
  11. 11.
    Doukas, C., Maglogiannis, I., Kormentzas, G.: Advanced telemedicine services through context-aware medical networks. In: International IEEE EMBS special topic conference on information technology applications in biomedicine (2006)Google Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Ilias Maglogiannis
    • 1
    Email author
  • Fillia Makedon
    • 2
  • Grammati Pantziou
    • 3
  • Lynne Baillie
    • 4
  1. 1.Department of Computer Science and Biomedical InformaticsUniversity of Central GreeceLamiaGreece
  2. 2.University of Texas at Arlington, Heracleia Computing LabArlingtonUSA
  3. 3.Department of InformaticsTEI of AthensAthensGreece
  4. 4.Telecommunications Research Center Vienna (FTW)ViennaAustria

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