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)
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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 |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Thakuriah, Professor Piyushimita 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 |
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