@inproceedings{2001e9f0548140e9a23b874b196c1427,
title = "Indoor localization of objects based on RSSI and MEMS sensors",
abstract = "There is an increasing demand for indoor localization and tracking objects with high accuracy. The GPS system is not efficient for positioning in such areas. Rising number of smartphones allow for their utilization in indoor positioning system. RSSI (Radio Signal Strength Index) is commonly applied but it is limited to pattern matching methods. A map called fingerprint is created at the first stage. However its accuracy is low and very often not satisfying. Authors propose a method for indoor localization based on smartphone available sensors and RSSI system. First results shows positioning improvement and better accuracy with respect to commonly used RSSI map. The method introduces phone orientation with respect to AP (access point), direction of the object move. Results describe relatively low error of our method comparing to RSSI system.",
keywords = "AP, MEMS sensors, RSSI, Wi-Fi, accelerometer, fingerprint, indoor localization, magnetometer",
author = "Damian Grzechca and Tomasz Wr{\'o}bel and Patryk Bielecki",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 14th International Symposium on Communications and Information Technologies, ISCIT 2014 ; Conference date: 24-09-2014 Through 26-09-2014",
year = "2015",
month = jan,
day = "15",
doi = "10.1109/ISCIT.2014.7011888",
language = "English",
series = "14th International Symposium on Communications and Information Technologies, ISCIT 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "143--146",
booktitle = "14th International Symposium on Communications and Information Technologies, ISCIT 2014",
address = "United States",
}