Abstract
Using Wi-Fi signals is an attractive and reasonably affordable option to deal with the currently unsolved problem of widespread tracking in an indoor environment. These systems however suffer due to the underlying characteristics of radio waves (i.e. multipath effects) and due to infrastructural requirements. HABITS (History Aware Based Indoor Tracking System) overcomes these by modeling the historical movement habits of people in a workplace environment and then learns from these and intelligently predicts next location using a discrete Bayesian filter. This knowledge not only improves on currently available systems in terms of accuracy, yield and latency but also can be used as an input to building automation (heating, lighting) systems as an energy saving feature.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Place of Publication | Intel Ireland Campus, Leixlip, Co. Kildare, Ireland |
| Publisher | Irish Software Innovation Network |
| Pages | 160-160 |
| Number of pages | 1 |
| Publication status | Published (in print/issue) - Oct 2010 |
| Event | Proc. of the 3rd Annual Intel European Research and Innovation Conference (ERIC-2010): Building a Smart, Sustainable and Inclusive Society through Research and Innovation partnerships - Intel Ireland Campus, Leixlip, Co. Kildare, Ireland Duration: 1 Oct 2010 → … |
Conference
| Conference | Proc. of the 3rd Annual Intel European Research and Innovation Conference (ERIC-2010): Building a Smart, Sustainable and Inclusive Society through Research and Innovation partnerships |
|---|---|
| Period | 1/10/10 → … |