Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Smeaton, Alan F.; | Lanagan, James | Caulfield, Brian
Affiliations: CLARITY: Centre for Sensor Web Technologies and School of Computing, Dublin City University, Dublin 9, Ireland | TRIL Centre and CLARITY: Centre for Sensor Web Technologies, University College Dublin, Belfield, Dublin 4, Ireland
Note: [] Corresponding author. E-mail: [email protected].
Abstract: Falls are a major cause of injury and fatality among the older population and the use of wearable sensors to quantify key metrics relating to gait and motor function in order to evaluate potential falls risk are increasing in use. However, one of the problems with current use of quantitative gait data to evaluate falls risk is that it is still tied to a relatively controlled deployment model due to lack of effective methods to label and segment gait data that could be acquired over a long term basis in the uncontrolled home and community setting. This means that we cannot evaluate the potentially powerful impact of environmental factors on gait and motor function in the home and community. In this paper we present a conceptual approach to solving this problem by combining inertial sensing methods for quantitative gait analysis with life logging, using other wearable sensors and a wearable camera that automatically record a wearer's contexts, at all times. Using the system, a clinician can use both gait data and lifelog data to mutually index each other to enable a more thorough exploration of data and a greater understanding of the impact of environment on gait function and subsequent falls risk. We also present a single case study of a long term deployment using a prototype of the system, with feedback from an experienced clinician, to illustrate its potential clinical utility.
Keywords: Wearable sensors, gait analysis, lifelogging, SenseCam
DOI: 10.3233/AIS-2012-0155
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 4, no. 4, pp. 335-346, 2012
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]