Paper Info
Title
A location estimation method using mobile BLE tags with tandem scanners.
Abstract
We have developed an indoor location estimation method using mobile Bluetooth Low Energy (BLE) tags carried by people and BLE scanners fixed to a building. By using the method, we can analyze the behavior of the attendees at some large-scale exhibition, such as the order of the visited booth and the duration of the stay. Using mobile BLE tags has some advantages: to collect a large amount of data easily, to provide location estimation without smart-phones. However, in a real environment, the BLE signal is unstable due to many people and obstacles. Fingerprinting is difficult because arranging booths finishes few hours before exhibition starts. Our previous trilateration method resulted in 10--30 meter accuracy with the data collected at Geospatial EXPO 2015 because of packet loss. We, to decrease packet loss, have developed tandem scanner that is equipped with multiple Bluetooth adapters. This paper presents the result of the improved method with the data collected by tandem scanners at Geospatial EXPO 2016. We also examined what improves accuracy: shorter advertising interval of the BLE tag and a larger number of tandem scanner's available adapters. Average location estimation accuracy was 4.51 meters when using best settings.
Year
DOI
Venue
2017
10.1145/3123024.3124405
UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing Maui Hawaii September, 2017
Keywords
Field
DocType
BLE, Location Estimation, Tandem Scanner, Exhibition
Geospatial analysis,Tandem,Computer science,Packet loss,Metre (music),Scanner,Bluetooth,Bluetooth Low Energy,Trilateration,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-5190-4
3
0.48
References 
Authors
4
4
Name
Order
Citations
PageRank
Kenta Urano184.17
Katsuhiko Kaji213027.22
Kei Hiroi31912.00
Nobuo Kawaguchi431364.23