Exercise Support System for Elderly: Multi-sensor Physiological State Detection and Usability Testing

  • Jan Macek
  • Jan Kleindienst
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6947)


We present an interactive system for physical exercise of older people and provide results of a usability study with target user group. The system motivates an elderly person to do regular physical activity based on an easy exercise in a monitored environment without a direct supervision from care-givers. Our system employs multi-modal interface including speech synthesis and speech recognition, as well as distance measurement using an ultrasound range finder. The system coaches the user through a sequence of body movements in the exercise utilizing an underlying human activity model. For evaluation of the performance of the user we present a statistical human activity model to estimate physical load of the user. The system tracks user load by monitoring heart rate and by scanning movement patterns using statistical estimators. At well-defined moments and when the scanning suggests there is a problem with the user, the user is asked to verify his ability to continue with the exercise. The system was tested on a set of elderly users to gather usability data and to estimate the acceptance of the system. While simplicity of the setup proved to work well for the users, suggestions for further extensions of the system were gathered. Usefulness of the concept was verified with a physiotherapist.


Random Forest Usability Study Automatic Speech Recognition Heart Rate Monitor Attribute Selection 
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.


  1. 1.
    Theng, Y.-L., Dahlan, A.B., Akmal, M.L., Myint, T.Z.: An exploratory study on senior citizens’ perceptions of the Nintendo Wii: the case of Singapore. In: Proc. of i-CREATe 2009 (2009)Google Scholar
  2. 2.
    SilverFit (2011),
  3. 3.
    Lin, W.-H., Jin, R., Hauptmann A.: Meta-classification of Multimedia Classifiers. In: Proc. of Int’l Workshop on Knowledge Discovery in Multimedia and Complex Data, Taipei, Taiwan (May 6, 2002)Google Scholar
  4. 4.
    Shnayder, V., Chen, B., Lorincz, K., Fulford-Jones, T.R.F., Welsh, M.: Sensor Networks for Medical Care. TR-08-05, Div. of Engineering and Applied Sciences, Harvard University (2005)Google Scholar
  5. 5.
    Macek, J., Kleindienst, J.: PHEASY – Physical exercise assistance system - Evaluation and Usability Study. In: IADIS Interfaces and Human Computer Interaction 2010 (2010)Google Scholar
  6. 6.
  7. 7.
    Kunc, L., Kleindienst, J.: ECAF: Authoring language for embodied conversational agents. In: Matoušek, V., Mautner, P. (eds.) TSD 2007. LNCS (LNAI), vol. 4629, pp. 206–213. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  8. 8.
    Cuřín, J., Kleindienst, J., Kunc, L., Labský, M.: Voice-driven Jukebox with ECA interface. In: Proc. of 13th International Conference "Speech and Computer" SPECOM 2009 (2009)Google Scholar
  9. 9.
    Potamianos, G., Huang, J., Marcheret, E., Libal, V., Balchandran, R., Epstein, M., Seredi, L., Labsky, M., Ures, L., Black, M., Lucey, P.: Far-field Multimodal Speech Perception and Conversational Interaction in Smart Spaces. In: Proc. of the HSCMA Joint Workshop on Hands-free Speech Communication and Microphone Arrays (2008)Google Scholar
  10. 10.
    Ghahramani, Z., Kim, H.-C.: Bayesian Classifier Combination. Gatsby Technical Report. University College London, UK (2003)Google Scholar
  11. 11.
    Hall, M.A., Smith, L.A.: Practical feature subset selection for machine learning. In: McDonald, C. (ed.) Proceedings of ACSC 1998, Perth, February 4-6, pp. 181–191 (1998)Google Scholar
  12. 12.
    Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA Data Mining Software: An Update. SIGKDD Explorations 11(1) (2009)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Jan Macek
    • 1
  • Jan Kleindienst
    • 1
  1. 1.IBM Czech RepublicPragueCzech Republic

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