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http://hdl.handle.net/1893/21258| Appears in Collections: | Biological and Environmental Sciences Conference Papers and Proceedings |
| Peer Review Status: | Refereed |
| Author(s): | Font, Octavi Frances, Guillem Jonsson, Anders Bartie, Phil Mackaness, William |
| Contact Email: | phil.bartie@stir.ac.uk |
| Title: | Probabilistic activity recognition in navigation |
| Citation: | Font O, Frances G, Jonsson A, Bartie P & Mackaness W (2014) Probabilistic activity recognition in navigation. In: 2014 11th Workshop on Positioning, Navigation and Communication, WPNC 2014. 2014 11th Workshop on Positioning, Navigation and Communication (WPNC 2014), Dresden, Germany, 12.03.2014-13.03.2014. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/WPNC.2014.6843309 |
| Issue Date: | 2014 |
| Date Deposited: | 19-Nov-2014 |
| Conference Name: | 2014 11th Workshop on Positioning, Navigation and Communication (WPNC 2014) |
| Conference Dates: | 2014-03-12 - 2014-03-13 |
| Conference Location: | Dresden, Germany |
| Abstract: | In this paper we present a novel probabilistic approach to activity recognition. Our approach is to estimate posterior probabilities of different activities using Bayes' rule. The approach can handle any type of activities as long as it is possible to estimate the conditional probabilities of potential observations, and easily scales to large numbers of activities. We test our approach empirically in an environment where observations are GPS signals of users moving around in a city. |
| Status: | VoR - Version of Record |
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| Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Probalistic Activity Recognition.pdf | Fulltext - Published Version | 946.51 kB | Adobe PDF | Under Embargo until 3000-03-01 Request a copy |
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