DocumentCode :
3685539
Title :
Context focused older adult mobility and gait assessment
Author :
Kenneth Taylor;Brenda Reginatto;Matthew R Patterson;Dermot Power;Yusuke Komaba;Kazuho Maeda;Akihiro Inomata;Brian Caulfield
Author_Institution :
Insight Centre for Data Analytics at University College Dublin, Belfield, Dublin 4, Ireland
fYear :
2015
Firstpage :
6943
Lastpage :
6946
Abstract :
This paper presents an initial overview of insights gained into how older adults mobilize in the home and community, based on data from inertial sensors which were worn by study participants over a 7-day period. The addition of a wearable camera provided additional contextual information which can be used to assess mobility and understand the factors that influence it in the free living environment. Seven days of data collected from a group of older adults who had experienced one or more falls in the previous six months was compared to that of a control group with no history of falling. Results showed that both groups spent relatively little time walking in challenging environmental conditions, and that the fallers spent significantly less time walking under regular conditions (no effect on gait) and outdoors. Analysis of gait metrics showed that the fallers were slightly slower in general, and more noticeable differences were observed when the participants were regrouped according to mobility levels determined from baseline assessments using traditional methods.
Keywords :
"Legged locomotion","Measurement","Wearable sensors","Context","Senior citizens","Injuries"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319989
Filename :
7319989
Link To Document :
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