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.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Weiser, M.: The computer of the 21st century. Scientific American 265(3), 94–104 (1991)
Beigl, M., Gellersen, H.-W., Schmidt, A.: Mediacups: Experience with design and use of computer-augmented everyday objects. Computer Networks, Special Issue on Pervasive Computing 35(4), 401–409 (2001)
http://ubicomp.lancs.ac.uk/smart-its/ (accessed: 4/2004)
http://particle.teco.edu (accessed: 10/2004)
Cheok, A.D., Kumar, K.G., Prince, S.: Micro-accelerometer based hardware interfaces for wearable computer mixed reality applications. In: Sixth International Symposium on Wearable Computers (ISWC), Seattle, Washington, USA (2002)
Crossbow. http://www.xbow.com/ (accessed: 4/2004)
Silicon Designs, Inc. http://www.silicondesigns.com/ (accessed: 4/2004)
Lukowicz, P., Junker, H., Trster, G.: Automatic calibration of body worn acceleration sensors. In: Proceedings of the second international Pervasive Computing conference, Vienna, Austria (2004)
Weinberg, H.: Using the adxl202 duty cycle output. iMEMS Technologies/ Applications AN-604, Analog Devices (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Krohn, A., Beigl, M., Decker, C., Kochendörfer, U., Robinson, P., Zimmer, T. (2005). Inexpensive and Automatic Calibration for Acceleration Sensors. In: Murakami, H., Nakashima, H., Tokuda, H., Yasumura, M. (eds) Ubiquitous Computing Systems. UCS 2004. Lecture Notes in Computer Science, vol 3598. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526858_19
Download citation
DOI: https://doi.org/10.1007/11526858_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27893-1
Online ISBN: 978-3-540-31809-5
eBook Packages: Computer ScienceComputer Science (R0)