Paper Info
Title
An IPS Evaluation Framework for Measuring the Effectiveness and Efficiency of Indoor Positioning Solutions
Abstract
The indoor positioning system (IPS) has been attracting great attention from researchers, thanks to the rapid adoption of smartphone technologies. Although there are many IPS proposed in the past decade that claimed to have good performance, all of them use their own method to evaluate and compare the accuracy of the proposed solution. During the evaluation phase, the method of gathering ground truth data (original position) is often not well described. As such, it is very difficult for other researchers to reproduce the work and improve on the existing methods. In this paper, we proposed a simple to implement framework to facilitate the process of evaluating IPS accuracy. Under this framework, the IPS position coordinates and ground truth are sent to the server using REST protocol when the phone reads an event triggered from tags scan placed on a fix position. We evaluated an existing well-known IPS technique, the Pedestrian Dead Reckoning (PDR) technique using our IPS evaluation framework. From our experiments, we showed that in addition to measuring the accuracy of IPS, the proposed solution can also measure the IPS accuracy deviation over time. Instead of relying on precision and recall, the framework also includes visualization tool for researchers to observe the overall accuracy of an IPS.
Year
DOI
Venue
2017
10.1007/978-981-10-4154-9_79
Lecture Notes in Electrical Engineering
Field
DocType
Volume
Pedestrian,Visualization,Computer science,Precision and recall,Real-time computing,Dead reckoning,Ground truth,Event triggered,Phone,Indoor positioning system
Conference
424
ISSN
Citations 
PageRank 
1876-1100
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Jacqueline Lee-Fang Ang100.68
Wai-Kong Lee23713.00
Boon-Yaik Ooi3326.14
Thomas Wei-Min Ooi400.68