Multi-sensor movement analysis for transport safety and health applications

Sila-Nowicka, K. and Thakuriah, P. (2019) Multi-sensor movement analysis for transport safety and health applications. PLoS ONE, 14(1), e0210090. (doi:10.1371/journal.pone.0210090) (PMID:30703128) (PMCID:PMC6363243)

[img]
Preview
Text
177063.pdf - Published Version
Available under License Creative Commons Attribution.

3MB

Abstract

Recent increases in the use of and applications for wearable technology has opened up many new avenues of research. In this paper, we consider the use of lifelogging and GPS data to extend fine-grained movement analysis for improving applications in health and safety. We first design a framework to solve the problem of indoor and outdoor movement detection from sensor readings associated with images captured by a lifelogging wearable device. Second we propose a set of measures related with hazard on the road network derived from the combination of GPS movement data, road network data and the sensor readings from a wearable device. Third, we identify the relationship between different socio-demographic groups and the patterns of indoor physical activity and sedentary behaviour routines as well as disturbance levels on different road settings.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Thakuriah, Professor Vonu and Sila-Nowicka, Ms Katarzyna
Creator Roles:
Sila-Nowicka, K.Conceptualization, Data curation, Formal analysis, Software, Validation, Visualization, Writing – original draft, Writing – review and editing
Thakuriah, P.Funding acquisition, Project administration, Writing – review and editing
Authors: Sila-Nowicka, K., and Thakuriah, P.
College/School:College of Social Sciences > School of Social and Political Sciences
College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:PLoS ONE
Publisher:Public Library of Science
ISSN:1932-6203
ISSN (Online):1932-6203
Copyright Holders:Copyright © 2019 Sila-Nowicka, Thakuriah
First Published:First published in PLoS ONE 14(1): e0210090
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
651922Urban Big Data Research CentrePiyushimita ThakuriahEconomic and Social Research Council (ESRC)ES/L011921/1SPS - URBAN STUDIES

Downloads per month over past year

View more statistics