@inProceedings{
 title = {How feasible is WiFi fingerprint-based indoor positioning for in-home monitoring? BT},
 type = {inProceedings},
 year = {2016},
 identifiers = {[object Object]},
 keywords = {Artificial intelligence,Expert systems,Indoor positioning systems,Intelligent agents,Learning systems,Location,Wireless local area networks (WLAN)},
 pages = {68-75},
 websites = {http://dx.doi.org/10.1109/IE.2016.19},
 publisher = {Proceedings of the 12th International Conference on Intelligent Environment},
 id = {465267c3-86bf-3b1d-8144-28422bedd957},
 created = {2018-06-17T20:13:02.684Z},
 file_attached = {false},
 profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},
 last_modified = {2018-06-17T20:20:39.035Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {torressospedra2016how},
 source_type = {book},
 private_publication = {false},
 abstract = {The main objective of this paper is to obtain an answer to the research question: Is it feasible to use a WiFi fingerprint-based indoor localization method for in-home monitoring? This question is highly relevant in fields such as Aging in Place or remote healthcare where continuous monitoring is essential. To answer this question, exhaustive experiments using expert systems and machine learning techniques have been performed in seven different real scenarios. The results showed success rate of 96% in estimating the location of a person inside his/her home in the best case, and an average of 89% in the seven studied scenarios. WiFi fingerprint-based location for in-home monitoring provides a precise location inside user's home, and it is robust enough to work even without an own WiFi access point, which in turn means a very affordable solution for in-home monitoring problems. 2016 IEEE.},
 bibtype = {inProceedings},
 author = {Torres, Joaquin and Belmonte, Oscar and Montoliu, Raul and Trilles, Sergio and Calia, Andrea},
 booktitle = {12th International Conference on Intelligent Environments, IE 2016, September 14, 2016 - September 16, 2016}
}

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