We introduce the harvesting of natural background radioactivity for positioning. Using a standard Geiger-Müller counter as sensor, we fingerprint the natural levels of gamma radiation with the aim of then roughly pinpointing the position of a client in terms of interfloor, intrafloor, and indoor-versus-outdoor locations. We find that the performance of a machine-learning algorithm in detecting position varies with the building, and is highest for interfloor detection in the case of an old domestic house, while it is highest for intrafloor detection if the floor spans building segments made from different construction materials. Altogether, the technique has lower performance than infrastructure-based localization techniques.
|Title of host publication||Smart Sensing and Context|
|Subtitle of host publication||Third European Conference, EuroSSC 2008, Zurich, Switzerland, October 29-31, 2008, Proceedings|
|Editors||Daniel Roggen, Clemens Lombriser, Gerhard Tröster, Gerd Kortuem, Paul Havinga|
|Place of Publication||Berlin, Heidelberg|
|Number of pages||14|
|Publication status||Published - 2008|
|Event||3rd European Conference on Smart Sensing and Context, EuroSSC 2008 - Zurich, Switzerland|
Duration: 29 Oct 2008 → 31 Oct 2008
Conference number: 3
|Conference||3rd European Conference on Smart Sensing and Context, EuroSSC 2008|
|Period||29/10/08 → 31/10/08|
Bucur, D., & Kjærgaard, M. B. (2008). GammaSense: Infrastructureless Positioning Using Background Radioactivity. In D. Roggen, C. Lombriser, G. Tröster, G. Kortuem, & P. Havinga (Eds.), Smart Sensing and Context: Third European Conference, EuroSSC 2008, Zurich, Switzerland, October 29-31, 2008, Proceedings (pp. 69-82). Berlin, Heidelberg: Springer.