@inproceedings{39d8d44236184ccd83f5f4a30021d0f2,
title = "Indoor Localization with Fingerprint Feature Extraction",
abstract = "We propose an indoor localization method using FPFE (Fingerprint Feature Extraction) with Bluetooth Low Energy (BLE) beacon fingerprints. FPFE apples either AE or PCA to extract features of beacon fingerprints and then measures the similarity between the features using the concept of the Minkowski distance. FPFE selects k RPs with the k smallest Minkowski distances for estimating the position of the target device. Experiments are conducted to evaluate the localization error of FPFE. The experimental results show that the FPFE achieves an average error of 0.68 m which is better than those of other related BLE fingerprint-based localization methods.",
keywords = "Autoencoder, Bluetooth Beacon, Fingerprint Indoor Localization, Principal Component Analysis",
author = "Hanas Subakti and Liang, {Hui Sung} and Jiang, {Jehn Ruey}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2nd IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2020",
month = oct,
day = "23",
doi = "10.1109/ECICE50847.2020.9301994",
language = "???core.languages.en_GB???",
series = "2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "239--242",
editor = "Teen-Hang Meen",
booktitle = "2nd IEEE Eurasia Conference on IOT, Communication and Engineering 2020, ECICE 2020",
}