eprintid: 3684
rev_number: 9
eprint_status: archive
userid: 291
dir: disk0/00/00/36/84
datestamp: 2019-12-06 11:40:37
lastmod: 2019-12-06 11:40:37
status_changed: 2019-12-06 11:40:37
type: conference_item
metadata_visibility: show
creators_name: Trinh, Vu Tuan Anh
creators_name: Dinh, Thi Thai Mai
creators_name: Nguyen, Quoc Tuan
creators_name: Sandrasegaran, Kumbesan
creators_id: tuananhtv97@gmail.com
creators_id: dttmai@vnu.edu.vn
creators_id: tuannq@vnu.edu.vn
creators_id: Kumbesan.Sandrasegaran@uts.edu.au
title: Indoor Positioning using BLE iBeacon, smartphone Sensors and Distance-based Position Correction Algorithm
ispublished: pub
subjects: Communications
subjects: ECE
divisions: fac_fet
abstract: In this paper, we propose a Bluetooth Low Energy (BLE) iBeacon based localization system, in which we combine two popular positioning methods: Pedestrian Dead Reckoning (PDR) and fingerprinting. As we build the system as an application running on an iPhone, we choose Kalman filter as the fusion algorithm to avoid complex computation. In fingerprinting, a multi-direction-database approach is applied. Finally, in order to reduce the cumulative error of PDR due to smartphone sensors, we propose an algorithm that we name “Distance-based position correction”. The aim of this algorithm is to occasionally correct the tracked position by using the iBeacon nearest to the user. In real experiments, our system can run smoothly on an iPhone, with the average positioning error of only 0.63 m.
date: 2018-08-08
date_type: published
full_text_status: public
pres_type: paper
event_title: The 4th International Conference on Research in Intelligent and Computing in Engineering
event_type: conference
refereed: FALSE
citation:   Trinh, Vu Tuan Anh and Dinh, Thi Thai Mai and Nguyen, Quoc Tuan and Sandrasegaran, Kumbesan  (2018) Indoor Positioning using BLE iBeacon, smartphone Sensors and Distance-based Position Correction Algorithm.  In: The 4th International Conference on Research in Intelligent and Computing in Engineering.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3684/1/19-10-2018%20article.pdf