Fingerprinting-based wireless 3D localization for motion capture applications

  • Authors:
  • Matteo Giuberti;Marco Martalò;Gianluigi Ferrari

  • Affiliations:
  • University of Parma, Italy;University of Parma, Italy;University of Parma, Italy

  • Venue:
  • MobileHealth '11 Proceedings of the First ACM MobiHoc Workshop on Pervasive Wireless Healthcare
  • Year:
  • 2011

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Abstract

In this paper, we consider a radio fingerprinting-based localization system for indoor motion capture applications. Fingerprinting allows target localization on the basis of radio-frequency measurements of the Received radio Signal Strength (RSS), taking into account the presence of fading by means of a training phase. Motion capture is then performed by localizing, through fingerprinting, a group of targets placed on the portion of interest of the user arm---the approach can be easily extended to other portions of the user body. We experimentally investigate, through a SunSPOT wireless sensor network test-bed, different fingerprinting-based localization algorithms, namely deterministic and probabilistic, optimizing, in each case, the system parameters. In particular, the optimization is carried out by minimizing the localization error.