Human Behavior Understanding with Wide Area Sensing Floors

  • Martino Lombardi
  • Augusto Pieracci
  • Paolo Santinelli
  • Roberto Vezzani
  • Rita Cucchiara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8212)


The research on innovative and natural interfaces aims at developing devices able to capture and understand the human behavior without the need of a direct interaction. In this paper we propose and describe a framework based on a sensing floor device. The pressure field generated by people or objects standing on the floor is captured and analyzed. Local and global features are computed by a low level processing unit and sent to high level interfaces. The framework can be used in different applications, such as entertainment, education or surveillance. A detailed description of the sensing element and the processing architectures is provided, together with some sample applications developed to test the device capabilities.


Sensing floor human behavior understanding OSC natural interfaces 


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  1. 1.
    Vezzani, R., Lombardi, M., Pieracci, A., Santinelli, P., Cucchiara, R.: Sensing floors for privacy-compliant surveillance of wide areas. In: Proceedings of the 10th IEEE International Conference on Advanced Video and Signal-Based Surveillance, Krakw, Poland (August 2013)Google Scholar
  2. 2.
    Wright, M., Freed, A.: Open sound control: A new protocol for communicating with sound synthesizers. In: International Computer Music Conference, pp. 101–104. International Computer Music Association, Thessaloniki (1997)Google Scholar
  3. 3.
    Schmeder, A., Freed, A., Wessel, D.: Best practices for open sound control. In: Linux Audio Conference, Utrecht, NL (May 1, 2010)Google Scholar
  4. 4.
    Middleton, L., Buss, A., Bazin, A., Nixon, M.: A floor sensor system for gait recognition. In: Fourth IEEE Workshop on Automatic Identification Advanced Technologies, pp. 171–176 (2005)Google Scholar
  5. 5.
    Yu, C.R., Wu, C.L., Lu, C.H., Fu, L.C.: Human localization via multi-cameras and floor sensors in smart home. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 5, pp. 3822–3827 (2006)Google Scholar
  6. 6.
    Savio, D., Ludwig, T.: Smart carpet: A footstep tracking interface. In: Int’l Conf. on Advanced Information Networking and Applications Workshops, vol. 2, pp. 754–760 (May 2007)Google Scholar
  7. 7.
    Valtonen, M., Maentausta, J., Vanhala, J.: Tiletrack: Capacitive human tracking using floor tiles. In: IEEE International Conference on Pervasive Computing and Communications, pp. 1–10 (March 2009)Google Scholar
  8. 8.
    Srinivasan, P., Birchfield, D., Qian, G., Kidané, A.: A pressure sensing floor for interactive media applications. In: Proc. of the Int’l Conf. on Advances in Computer Entertainment Technology, pp. 278–281 (2005)Google Scholar
  9. 9.
    Anlauff, J., Großhauser, T., Hermann, T.: Tactiles: a low-cost modular tactile sensing system for floor interactions. In: Proc. of the 6th Nordic Conf. on Human-Computer Interaction: Extending Boundaries, pp. 591–594. ACM (2010)Google Scholar
  10. 10.
    Rajalingham, R., Visell, Y., Cooperstock, J.: Probabilistic tracking of pedestrian movements via in-floor force sensing. In: Canadian Conference on Computer and Robot Vision, May 31-June 2, pp. 143–150 (2010)Google Scholar
  11. 11.
    Paradiso, J., Abler, C., Hsiao, K.Y., Reynolds, M.: The magic carpet: physical sensing for immersive environments. In: Extended Abstracts on Human Factors in Computing Systems, pp. 277–278 (1997)Google Scholar
  12. 12.
    Rangarajan, S., Kidane, A., Qian, G., Rajko, S., Birchfield, D.: The design of a pressure sensing floor for movement-based human computer interaction. In: Kortuem, G., Finney, J., Lea, R., Sundramoorthy, V. (eds.) EuroSSC 2007. LNCS, vol. 4793, pp. 46–61. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  13. 13.
    Weiss, K., Worn, H.: The working principle of resistive tactile sensor cells. In: Proc. of IEEE International Conference on Mechatronics and Automation, vol. 1, pp. 471–476 (2005)Google Scholar
  14. 14.
    Laptev, I.: On space-time interest points. Int. J. Comput. Vision 64(2-3), 107–123 (2005)CrossRefGoogle Scholar
  15. 15.
    Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R.: Actions as space-time shapes. IEEE Trans. Pattern Anal. Mach. Intell. 29(12), 2247–2253 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Martino Lombardi
    • 1
  • Augusto Pieracci
    • 1
  • Paolo Santinelli
    • 1
  • Roberto Vezzani
    • 1
  • Rita Cucchiara
    • 1
  1. 1.Softech-ICTUniversity of Modena and Reggio EmiliaModenaItaly

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