Physical Implementation of a Customisable System to Assist a User with Mobility Problems

  • Sandra López
  • Rosario Baltazar
  • Miguel Ángel Casillas
  • Víctor Zamudio
  • Juan Francisco Mosiño
  • Arnulfo Alanis
  • Guillermo Méndez
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 45)

Abstract

The implementation of technology at home has caught the attention of many people, especially if elderly, handicapped or disable people are living on it. It is important to consider that the technology must be friendly with users, and even adapt to their needs and desires [1]. In this research, we present the physical implementation of a general system to assist users and patients in daily activities or duties. The system was implemented in a room and include sensors, actuators and wireless agents. This research is focused on people with some movement restrictions. The results are very promising, the user was successfully able to move several elements in the room (like windows or blinds) using only a mobile device as a tablet or a smart phone. Additionally, in order to see his potential adaptation and versatility, several devices where connected successfully to give comfort to the users.

Keywords

Assistance to people Assist in daily activities Movement restrictions Embedded agents Sensors Actuators 

Notes

Acknowledgments

The authors want to acknowledge the kind and generous support from CONACyT and DGEST to this project.

References

  1. 1.
    Aztiria, A., Augusto, J.C., Basagoiti, R., Izaguirre, A., Cook, D.J.: Learning frequent behaviors of the users. In: IEEE Transactions on Intelligent Environments Systems, Man, and Cybernetics Systems, vol 43, no. 6 (2013)Google Scholar
  2. 2.
    United Nations, D. o. E., Social Affairs, P. D: World population prospects, CD-ROM edition (2011) Google Scholar
  3. 3.
    Bayer, A., Harper, L., Greenwald, M. of Retired Persons A.A.: Fixing to Stay: A National Survey of Housing and Home Modification Issues. American Association of Retired Persons, Washington (2000)Google Scholar
  4. 4.
    Kleinberger, T., Becker, M., Ras, E., Holzinger, A., Muller, P.: Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Stephanidis, C. (ed.) Universal access in human-computer interaction: ambient interaction UAHCI’07. Springer, Heidelberg (2007)Google Scholar
  5. 5.
    Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: Scenarios for ambient intelligence in 2010. IST Advisory Group. Tech. Rep. (2011). ftp.cordis.lu/pub/ist/docs/istagscenarios2010.pdf
  6. 6.
    Aztiria, A., Izaguirre, A., Augusto, J.C.: Learning patterns in ambient intelligence environments: a survey. In: Springer Science + Business Media B. V., pp. 35–51 (2010). doi:10.1007/s10462-010-9160-3
  7. 7.
    Sanders, D., Stott, I.: A new prototype intelligent mobility system to assist powered wheelchair users. Ind. Robot Int. J. 26(6), 466–475 (1999). ISSN 0143-991XGoogle Scholar
  8. 8.
    Youm, S., Lee, G., Park, S., Zhu, W.: Development of remote healthcare system for measuring and promoting healthy lifestyle. Expert Syst. Appl. 38, 2828–2834 (2011)Google Scholar
  9. 9.
    Botia, J.A., Villa, A., Palma, J.: Ambient assisted living system for in-home monitoring of healthy independent elders. Expert Syst. Appl. 39, 8136–8148 (2012)Google Scholar
  10. 10.
    Mowafey, S., Gardner, S., Patz, R.: Development of an ambient intelligent environment to facilitate the modelling of well-being. In: IET Seminar on Assisted Living 2011, pp. 1–6 (2011)Google Scholar
  11. 11.
    Sherief, M., Steve, G.: Towards ambient Intelligence in assisted living: the creation of an intelligent home care. In: Science and Information Conference, pp. 51–50. London, U.K (2013)Google Scholar
  12. 12.
    Suryadevara, N.K., Gaddam, A., Rayudu, R.K., Mukhopadhyay, S.C.: Wireless sensors network based safe home to care elderly people: behaviour detection. Sens. Actuators A 186, 277–283 (2012)Google Scholar
  13. 13.
    Yuce, M.R.: Implementation of wireless body area networks for healthcare systems. Sens. Actuators A 162, 116–129 (2010)Google Scholar
  14. 14.
    Barrón, T.J., Baltazar, R., Casillas, M.A., Zamudio, V.M., Martínez, B.: Diseño de un middleware basado en agentes para la creación de inteligencia ambiental. In: XI Congreso Internacional sobre Innovación y Desarrollo Tecnológico. CIINDET, México (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Sandra López
    • 1
  • Rosario Baltazar
    • 1
  • Miguel Ángel Casillas
    • 1
  • Víctor Zamudio
    • 1
  • Juan Francisco Mosiño
    • 1
  • Arnulfo Alanis
    • 2
  • Guillermo Méndez
    • 1
  1. 1.Instituto Tecnológico de LeónLeón GuanajuatoMexico
  2. 2.Instituto Tecnológico de TijuanaTijuanaMexico

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