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Utilising wearable and environmental sensors to identify the context of gait performance in the home

Lanagan, James, Caulfield, Brian and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2011) Utilising wearable and environmental sensors to identify the context of gait performance in the home. In: DIVERSE 2011: Developing Innovative Visual Educational Resources For Students Everywhere, 28-30 June 2011, Dublin, Ireland.

Abstract
In this paper we describe our work on the development of a multi-sensory deployment within the homes of elderly people prone to falling. The aim of our work is to provide both preventative guidance with regards to environmental hazards, as well as to create rich information context around gait performance, near-falls or falls that do happen so the cause can be diagnosed more thoroughly. We use a gait analysis platform developed at the TRIL Centre, coupled with a SenseCam wearable camera, to identify the activities and the location in the home during walking activities. In addition to this, and to add even more context, we use home energy- monitoring to enhance our understanding of activities and activity patterns in the home. This method could support older people in identifying a key problem and allow the participant to modify their behaviour or environment to limit or prevent future occurrences.
Metadata
Item Type:Conference or Workshop Item (Lecture)
Event Type:Conference
Refereed:No
Uncontrolled Keywords:environmental hazards; gait performance; elderly
Subjects:Computer Science > Lifelog
Medical Sciences > Geriatric nursing
Medical Sciences > Exercise
Medical Sciences > Biomechanics
Computer Science > Digital video
Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Official URL:http://diverse2011.dcu.ie/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:16843
Deposited On:27 Feb 2012 11:44 by Alan Smeaton . Last Modified 31 Oct 2018 12:56
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