Visualizing Sensor Data: Towards an Experiment and Validation Platform

  • Claudia C. Gutiérrez Rodriguez
  • Anne-Marie Déry-Pinna
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7623)


In the last decade, technological improvement on sensors increasingly motivates the use of sensor data in numerous application domains such as environmental, health, transportation, etc. Progressively, with the advances on user terminals, there is a strong trend towards interactive sensor data visualization. As viewing raw sensor data stored in multiple databases does not specially fulfill user requirements, data visualization raises challenges about supporting users to easily use and handle sensor data. In this paper, we address this particular subject with an extensible visualization and interaction platform. Within this platform, we provide developers the facility to experiment and validate multiple visualizations for sensor data, specially based sensor data properties and users’ requirements. We illustrate our platform with a medical study case focused on ECG data visualization.


Information Visualization HCI Sensor Data Medical Applications Experimentation platform 


  1. 1.
    Stoicu-Tivadar, L., Stoicu-Tivadar, V.: Human-computer interaction reflected in the design of user interfaces for general practitioners. I. J. Medical Informatics 75(3-4), 335–342 (2006)CrossRefGoogle Scholar
  2. 2.
    Stroetmann, K.A., Pieper, M., Stroetmann, V.N.: Understanding Patients: Participatory Approaches for the User Evaluation of Vital Data Presentation. In: ACM Conference on Universal Usability, pp. 93–97 (2003)Google Scholar
  3. 3.
    Campbell, B.D., Mete, H.O., Furness, T., Weghorst, S., Zabinsky, Z.: Emergency Response Planning and Training through Interactive Simulation and Visualization with Decision Support. Architecture, 176–180 (2008)Google Scholar
  4. 4.
    Niederauer, C., Houston, M., Agrawala, M., Humphreys, G.: Non-invasive interactive visualization of dynamic architectural environments. In: Proc. of 2003 Symposium on Interactive 3D Graphics (2003)Google Scholar
  5. 5.
    Grundy, E., Jones, M.W., Laramee, R.S., Wilson, R.P., Shepard, E.: Visualisation of Sensor Data from Animal Movement. Comput. Graph. Forum 28(3), 815–822 (2009)CrossRefGoogle Scholar
  6. 6.
    Keim, D.: Information Visualization and Visual Data Mining. IEEE Transactions on Visualization and Computer Graphics 8(1) (2002)Google Scholar
  7. 7.
    Aigner, W., Miksch, S., Müller, W., Schumman, H., Tominski, C.: Visual Methods for Analyzing Time-Oriented Data. IEEE Transactions on Visualization and Computer Graphics 14(1), 47–60 (2008)CrossRefGoogle Scholar
  8. 8.
    Luo, X., Teng, D., Liu, W., Tian, F., Guozhong, D., Wang, H.: A developing framework for interactive temporal data visualization. In: Proc. of the 3rd International Symposium on Visual Information Communication, September 28-29 (2010)Google Scholar
  9. 9.
    Shneiderman, B.: The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In: Proc. IEEE Symposium on Visual Languages (VL 1996), p. 336. IEEE Computer Society, Washington, DC (1996)CrossRefGoogle Scholar
  10. 10.
    Stone, M.: Information visualization: Challenge for the humanities. Report of a Workshop Cosponsored by the Council on Library and Information Resources and the National Endowment for the Humanities. Council on Library and Information Resources, Washington, DC, pp. 43–56 (2009)Google Scholar
  11. 11.
    Richter, C.: Visualizing Sensor Data. In: Media Informatics Advanced Seminar on Information Visualization (2009)Google Scholar
  12. 12.
    Carmo, M.B., Afonso, A.P., de Matos, P.P., Vaz, A.: MoViSys – A Visualization System for Geo-Referenced Information on Mobile Devices. In: Sebillo, M., Vitiello, G., Schaefer, G. (eds.) VISUAL 2008. LNCS, vol. 5188, pp. 167–178. Springer, Heidelberg (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Claudia C. Gutiérrez Rodriguez
    • 1
  • Anne-Marie Déry-Pinna
    • 1
  1. 1.I3S – CNRSUniversity of NiceSophia AntipolisFrance

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