arrow
Return

A toolkit for localisation queries

delete2024-10-01
delete0
delete
OA
AI
G
Gabriele Marini *
J
Jorge Gonçalves
E
Eduardo Velloso
R
Raja Jurdak
V
Vassilis Kostakos
DOI:10.1016/j.pmcj.2024.101946delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
While UbiComp research has steadily improved the performance of localisation systems, the analysis of such datasets remains largely unaddressed. In this paper, we present a tool to facilitate querying and analysis of localisation time -series with a focus on semantic localisation. Drawing on well -established models to represent movement and mobility, we first develop a query language for localisation datasets. We then develop a software library in R that implements this querying. We use case studies to demonstrate how our programming tool can be used to query localisation datasets. Our work addresses an important gap in localisation research, by providing a flexible tool that can model and analyse localisation data programmatically and in real time.
Keywords:
Semantic localisation
Indoor localisation
Patterns
Movements
Time-series
Pattern syntax
Mobility
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pervasive and Mobile Computing cover
Pervasive and Mobile Computing
IF:
3.5
Papers:
1.5K
Citations:
2.2K

Organization

U
University of Sydney
Scholars:
6.5W
Papers: 6.2W
Citations: 90
U
university of melbourne
Scholars:
5.7W
Papers: 5.4W
Citations: 69