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Using SenseCam images to assess the environment
Mavoa, Suzanne Oliver, Melody Kerr, Jacqueline Doherty, Aiden Witten, Karen
Mavoa, Suzanne
Oliver, Melody
Kerr, Jacqueline
Doherty, Aiden
Witten, Karen
Abstract
This study explores the use of SenseCam images to measure the environment. SenseCam images were collected in two neighbourhoods and annotated using a comprehensive list of features in the built, natural, and social environments. Several issues arose during this process. Some, were common to all SenseCam use (time to annotate images, obscured images, annotation error), and others were specific to using SenseCam to assess environmental features (difficult to identify features, directionality, annotator familiarity, uncertainty about which features to annotate, assessing quantity/density of features). Despite these issues SenseCam images complement existing methods of measuring the environment and allow researchers to capture the environment the wearer is exposed to. This data can then be linked to behaviour data and data from other wearable sensors.
Keywords
SenseCam, wearable sensors, built environment, natural environment, social environment
Date
2013
Type
Conference paper
Journal
Book
SenseCam '13 : Proceedings of the 4th International SenseCam & Pervasive Imaging Conference
Volume
Issue
Page Range
84-85
Article Number
ACU Department
Collections
Relation URI
Open Access Status
License
All rights reserved
File Access
Controlled
Notes
Copyright is held by the author/owner(s).