Inexpensive and automatic calibration for acceleration sensors

  • Authors:
  • Albert Krohn;Michael Beigl;Christian Decker;Uwe Kochendörfer;Philip Robinson;Tobias Zimmer

  • Affiliations:
  • Telecooperation Office (TecO), Universität Karlsruhe;Telecooperation Office (TecO), Universität Karlsruhe;Telecooperation Office (TecO), Universität Karlsruhe;Telecooperation Office (TecO), Universität Karlsruhe;Telecooperation Office (TecO), Universität Karlsruhe;Telecooperation Office (TecO), Universität Karlsruhe

  • Venue:
  • UCS'04 Proceedings of the Second international conference on Ubiquitous Computing Systems
  • Year:
  • 2004

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Abstract

In this paper, we present two methods for calibration of acceleration sensors that are inexpensive, in-situ, require minimum user interaction and are targeted to a broad set of acceleration sensor applications and devices. We overcome the necessity of orthogonal axes alignment by extending existing calibration methods with a non-orthogonal axes model. Our non-orthogonal method can furthermore be used to enable automatic calibration for 1- or 2-axes accelerometers or realize a simultaneous mass-calibration of sensors with minimum effort. The influence of noise to the presented calibration methods is analysed.