Testing Ambient Assisted Living Solutions with Simulations

  • Marlon CárdenasEmail author
  • Jorge Gómez SanzEmail author
  • Juan PavónEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11146)


The paper introduces a testing solution for evaluating Ambient Assisted Living systems by means of 3D simulations generated with a game engine, complex event processing, and classifiers. The solution aims to ensure that: (1) some key features of the problem appear in the simulation, and (2) the assistive solution interacts with the persons in the right way. A specific testing solution is needed because of the evolving nature of the simulation (each iteration of the requirements specification involves changes in the activities within the simulation) and the assistive solution (it operates in real time and evaluating its performance may require manually inspecting hours of simulation). The approach is illustrated with a proof-of-concept experiment.


3D simulation Ambient Assisted Living (AAL) Real-time simulation Requirements gathering 



We acknowledge support from the project “Collaborative Ambient Assisted Living Design (ColoSAAL)” (TIN2014-57028-R ) funded by Spanish Ministry for Economy and Competitiveness; and MOSI-AGIL-CM (S2013/ICE-3019) co-funded by the Region of Madrid Government, EU Structural Funds FSE, and FEDER.


  1. 1.
    Campillo-Sanchez, P., Gomez-Sanz, J.J.: A framework for developing multi-agent systems in ambient intelligence scenarios. In: Proceedings of the 2015 AAMAS Conference, AAMAS 2015, pp. 1949–1950 (2015)Google Scholar
  2. 2.
    Fernández-Isabel, A., Fuentes-Fernández, R.: Analysis of intelligent transportation systems using model-driven simulations. Sensors 15(6), 14116–14141 (2015)CrossRefGoogle Scholar
  3. 3.
    Gomez-Sanz, J.J., Campillo-Sánchez, P.: Domain independent regulative norms for evaluating performance of assistive solutions. Pervasive Mob. Comput. 34, 79–90 (2017)CrossRefGoogle Scholar
  4. 4.
    Gómez-Sanz, J.J., Pavón, J.: Meta-modelling in agent oriented software engineering. In: Garijo, F.J., Riquelme, J.C., Toro, M. (eds.) IBERAMIA 2002. LNCS (LNAI), vol. 2527, pp. 606–615. Springer, Heidelberg (2002). Scholar
  5. 5.
    GRASIA: AIDE (2018).
  6. 6.
    Pallot, M., Trousse, B., Senach, B., Scapin, D.: Living lab research landscape: from user centred design and user experience towards user cocreation. In: First European Summer School “Living Labs” (2010)Google Scholar
  7. 7.
    Pax, R., Cárdenas Bonett, M., Gómez-Sanz, J.J., Pavón, J.: Virtual development of a presence sensor network using 3D simulations. In: Alba, E., Chicano, F., Luque, G. (eds.) Smart-CT 2017. LNCS, vol. 10268, pp. 154–163. Springer, Cham (2017). Scholar
  8. 8.
    Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inf. 17(3), 579–590 (2013)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Department of Software Engineering and Artificial IntelligenceComplutense University of MadridMadridSpain

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