Using SenseCam Images to Assess the Environment
Conference paper
Mavoa, Suzanne, Oliver, Melody, Kerr, Jacqueline, Doherty, Aiden and Witten, Karen. (2013). Using SenseCam Images to Assess the Environment. United States: Association for Computing Machinery. pp. 84 https://doi.org/10.1145/2526667.2526683
Authors | Mavoa, Suzanne, Oliver, Melody, Kerr, Jacqueline, Doherty, Aiden and Witten, Karen |
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Type | Conference paper |
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 |
Year | 01 Jan 2013 |
Publisher | Association for Computing Machinery |
Digital Object Identifier (DOI) | https://doi.org/10.1145/2526667.2526683 |
Web address (URL) | https://dl.acm.org/doi/10.1145/2526667.2526683 |
Research or scholarly | Research |
Publisher's version | License All rights reserved File Access Level Controlled |
Page range | 84 |
85 | |
ISBN | 978-1-4503-2247-8 |
Web address (URL) of conference proceedings | https://dl.acm.org/doi/proceedings/10.1145/2526667 |
Output status | Published |
Publication dates | |
Online | 18 Nov 2013 |
Publication process dates | |
Deposited | 23 May 2024 |
Additional information | Copyright is held by the author/owner(s). |
ACM COPYRIGHT NOTICE. Copyright © 2013 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org. | |
Place of publication | United States |
Series | November |
https://acuresearchbank.acu.edu.au/item/907y3/using-sensecam-images-to-assess-the-environment
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