SIMDOMO: A Tool for Long-term Simulations of Ambient-Assisted Living

  • Massimo ZancanaroEmail author
  • Michele Marchesoni
  • Giampaolo Armellin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8850)


In this paper, we introduce SIMDOMO, a tool to simulate human activities in virtual sensorized houses. The purpose of the tool is to facilitate the generation of large amount of data for the design and evaluation of ambient-assisted living applications. Specifically, for experimenting with visualizations of home activities over long periods (years or decades); for training and testing algorithms to recognize changes of behaviors or anomalies that would be difficult to observe in real settings or in lab; testing infrastructures for robustness and scaling; as well as, for assessing business models. SIMDOMO allows defining “human behaviors” in terms of temporally anchored activities: these behaviors can then be automatically replicated introducing small random variations to make the data more varied. The time of the simulation can be accelerated by several factors allowing the generation of decades of simulated life in few hours. We believe that this tool addresses an urgent need in the field of Ambient-Assisted Living.


Assisted Living Home Activity Standard Desktop Computer Ambient Assisted Living System Testing Infrastructure 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Autexier, S., Hutter, D., Stahl, C.: An Implementation, Execution and Simulation Platform for Processes in Heterogeneous Smart Environments. In: Augusto, J.C., Wichert, R., Collier, R., Keyson, D., Salah, A.A., Tan, A.-H. (eds.) AmI 2013. LNCS, vol. 8309, pp. 3–18. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  2. 2.
    Banks, J.: Handbook of Computer Simulation. Principles, Methodology, Advances, Applications and Practice. John Wiley and Sons (1998)Google Scholar
  3. 3.
    McNaull, J., Augusto, J.C., Mulvenna, M., McCullagh, P.: Data and Information Quality Issues in Ambient Assisted Living Systems. ACM J. Data Inform. Quality 4, 1 (2012)CrossRefGoogle Scholar
  4. 4.
    Sun, H., Florio, V.D., Gui, N., Blondia, C.: Promises and challenges of ambient assisted living systems. In: Proceedings of the 6th IEEE International Conference on Information Technology (2009)Google Scholar
  5. 5.
    Wan, J., O’Grady, M.J., O’Hare, G.M.: Bootstrapping Activity Modeling for Ambient Assisted Living. In: Zeng, D., Yang, C.C., Tseng, V.S., Xing, C., Chen, H., Wang, F.-Y., Zheng, X. (eds.) ICSH 2013. LNCS, vol. 8040, pp. 96–106. Springer, Heidelberg (2013)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Massimo Zancanaro
    • 1
    Email author
  • Michele Marchesoni
    • 1
  • Giampaolo Armellin
    • 2
  1. 1.Fondazione Bruno KesslerTrentoItaly
  2. 2.Centro Ricerche GPITrentoItaly

Personalised recommendations