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- W2601808662 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." @default.
- W2601808662 created "2017-04-07" @default.
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- W2601808662 date "2016-11-08" @default.
- W2601808662 modified "2023-09-23" @default.
- W2601808662 title "Multisensor Data Fusion for Pedestrians in Spatial Disorientation" @default.
- W2601808662 doi "https://doi.org/10.33012/2016.14678" @default.
- W2601808662 hasPublicationYear "2016" @default.
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