Multisensor Data Fusion for Pedestrians in Spatial Disorientation

Edith Pulido Herrera, Daniel Sierra

Abstract: The traditional location based services (LSB) applications that require pedestrians’ position, developments in pedestrian positioning systems present a great potential to assist users with special needs, e.g., people with spatial disorientation issues. In a spatial disorientation episode a person hesitates about her/his surroundings or gets lost in otherwise familiar environments. Research in pedestrian dead reckoning has shown outstanding results about the user’s position based on human locomotion patterns. In this paper, we leverage the great advances in the personal positioning field to explore the conditions of a user during a spatial disorientation episode. Here, the parameters commonly used in PDR are utilized to identify events in a spatial disorientation episode. In other words, parameters associated with the user’s step are used to identify when the user walks with normal patterns or presents unusual walking patterns. Due to the lack of knowledge of events associated with SDE and what is the process to become disorientated, an empirical approach is proposed.
Published in: Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016)
September 12 - 16, 2016
Oregon Convention Center
Portland, Oregon
Pages: 810 - 815
Cite this article: Herrera, Edith Pulido, Sierra, Daniel, "Multisensor Data Fusion for Pedestrians in Spatial Disorientation," Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016), Portland, Oregon, September 2016, pp. 810-815.
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