Multiagent Systems and Wearable Devices: Helping People Live Healthier

  • Juan A. Fraile
  • Carolina Zato
  • Oscar Gil
  • Fernando de la Prieta
Part of the Advances in Soft Computing book series (AINSC, volume 72)


This paper proposes a multi-agent system (MAS) that uses smart wearable devices and mobile technology for the care of patients in a geriatric home care facility. The use of RFID and NFC technologies allows remote monitoring and identification of patients, and makes it possible for them to receive treatment according to preventative medical protocol. The proposed multi-agent system manages the infrastructure of services within the environment both efficiently and securely by reasoning, task-planning and synchronizing the data obtained from the sensors. A system prototype was installed in a real environment and the results obtained are presented in this paper.


Wearable Systems Human Health Dependent Environment Smart Wearable Devices 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Abowd, G.D., Hayes, G.R., Iachello, G., Kientz, J.A., Patel, S.N., Stevens, M.M., Truong, K.N.: Prototypes and paratypes: Designing mobile and ubiquitous computing applications. IEEE Pervasive Computing, 67–73 (2005)Google Scholar
  2. 2.
    Bajo, J., Fraile, J.A., Corchado, J.M., Pérez-Lancho, B.: The THOMAS Architecture in Home Care Scenarios: A case study. Expert Systems with Applications 37(5), 3986–3999 (2010)CrossRefGoogle Scholar
  3. 3.
    Baronti, P., Pillai, P., Chook, V.W.C., Chessa, S., Gotta, A., Hu, Y.F.: Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards. Computer Communications 30(7), 1655–1695 (2007)CrossRefGoogle Scholar
  4. 4.
    Corchado, J.M., Bajo, J., de Paz, Y., Tapia, D.: Intelligent Environment for Monitoring Alzheimer Patients. Agent Technology for Health Care. Decision Support Systems 34(2), 382–396 (2008)CrossRefGoogle Scholar
  5. 5.
    Corchado, J.M., Bajo, J., Abraham, A.: GERAmI: Improving the delivery of health care. IEEE Intelligent Systems. Special Issue on Ambient Intelligence 32(2), 19–25 (2008)CrossRefGoogle Scholar
  6. 6.
    Fraile, J.A., Bajo, J., Corchado, J.M.: Applying Context-Aware Computing in Dependent Environments. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds.) IWINAC 2009. LNCS, vol. 5602, pp. 85–94. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  7. 7.
    Fraile, J.A., Bajo, J., Corchado, J.M.: Multi-Agent Architecture for Dependent Environments. In: Providing Solutions for Home Care. Inteligencia Artificial. Special Issue 7th Ibero-American Workshop in Multi-Agent Systems, vol. 42, pp. 36–45 (2009)Google Scholar
  8. 8.
    Freitas, A.A., Wieser, D.C., Apweiler, R.: On the importance of comprehensible classification models for protein function prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics (2008)Google Scholar
  9. 9.
    Giroux, S., Pigot, H.: From Smart Homes to Smart Care: ICOST 2005 (Assistive Technology & Research). IOS Press, USA (2005)Google Scholar
  10. 10.
    Hsu, Y., Yang, C., Tsai, T., Cheng, C., Wu, C.: Development of a Decentralized Home Telehealth Monitoring System. Telemedicine and e-Health 13(1), 69–78 (2007)CrossRefGoogle Scholar
  11. 11.
    Jayaputera, G.T., Zaslavsky, A.B., Loke, S.W.: Enabling run-time composition and support for heterogeneous pervasive multi-agent systems. Journal of Systems and Software 80(12), 2039–2062 (2007)CrossRefGoogle Scholar
  12. 12.
    Lin, C.C., Lin, P.Y., Lu, P.K., Hsieh, G.Y., Lee, W.L., Lee, R.G.: A Healthcare Integration System for Disease Assessment and Safety Monitoring of Dementia Patients. IEEE Transactions on Information Technology in Biomedicine 12(5), 579–586 (2008)CrossRefGoogle Scholar
  13. 13.
    Paradiso, J., Borriello, G., Bonato, P.: Implantable Electronics. IEEE Pervasive Computing 7(1), 12–13 (2008)CrossRefGoogle Scholar
  14. 14.
    Strömmer, E., Kaartinen, J., Pärkkä, J., Ylisaukkooja, A., Korhonen, I.: Application of Near Field Communication for Health Monitoring in Daily life. In: Proceedings of 28th IEEE EMBS International Conference, New York City, pp. 3246–3249 (2006)Google Scholar
  15. 15.
    Want, R.: An Introduction to RFID Technology. IEEE Pervasive Computing 5, 25–33 (2006)CrossRefGoogle Scholar
  16. 16.
    Yan, Y.S., Zhang, Y.T.: An Efficient Motion-Resistant Method for Wearable Pulse Oximeter. IEEE Transactions on Information Technology in Biomedicine 12(3), 399–405 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Juan A. Fraile
    • 1
  • Carolina Zato
    • 2
  • Oscar Gil
    • 2
  • Fernando de la Prieta
    • 2
  1. 1.Pontifical University of SalamancaSalamancaSpain
  2. 2.Departamento de Informática y AutomáticaUniversity of SalamancaSalamancaSpain

Personalised recommendations