An approach to the use of Wi-Fi signals for hospital indoor location detection: Performance comparison of classification algorithms
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Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Detecting the location in the indoor is relatively difficult compared to the outdoor places. Location detection in outdoor places GPS-enabled devices and signals from at least 3 different satellites are easy to implement due to various difficulties (such as forested areas, high-rise buildings). On the other hand, In indoor places like hospital, airports, car parks, mines; Wi-Fi, Beacon and Radio Frequency (RF) signals are used for position detection. In this study, on a sample data set consisting of signals from 7 different access points in a closed area, analyzes were made by using machine learning algorithms on the correct position determination. With the obtained values and the comparisons made, it was seen that the location could be determined by using the access point signals in the indoor. In this pre - study, it is aimed to reduce adverse conditions with rapid and high accuracy location detection in emergency situations which may occur in hospital buildings where time is crucial. © 2019 IEEE.
Açıklama
2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019 -- 24 April 2019 through 26 April 2019 -- -- 148870
Anahtar Kelimeler
Classification, Data mining, Indoor location detection., K nearest neighbor, Naive bayes
Kaynak
2019 Scientific Meeting on Electrical-Electronics and Biomedical Engineering and Computer Science, EBBT 2019
