Abstract
By implementing a combination of an activity recognition with a map-supported particle filter we were able to significantly improve the positioning of our navigation system for blind people. The activity recognition recognizes walking forward or backward, or ascending or descending stairs. This knowledge is combined with knowledge from the maps, i.e. the location of stairs. Different implementations of the particle filter were evaluated regarding their ability to compensate for sensor drift.
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Schmitz, B., Györkös, A., Ertl, T. (2012). Combination of Map-Supported Particle Filters with Activity Recognition for Blind Navigation. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2012. Lecture Notes in Computer Science, vol 7383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31534-3_78
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DOI: https://doi.org/10.1007/978-3-642-31534-3_78
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