DocumentCode
1755553
Title
Unobtrusive, Continuous, In-Home Gait Measurement Using the Microsoft Kinect
Author
Stone, Erik E. ; Skubic, Marjorie
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Missouri, Columbia, MO, USA
Volume
60
Issue
10
fYear
2013
fDate
Oct. 2013
Firstpage
2925
Lastpage
2932
Abstract
A system for capturing habitual, in-home gait measurements using an environmentally mounted depth camera, the Microsoft Kinect, is presented. Previous work evaluating the use of the Kinect sensor for in-home gait measurement in a lab setting has shown the potential of this approach. In this paper, a single Kinect sensor and computer were deployed in the apartments of older adults in an independent living facility for the purpose of continuous, in-home gait measurement. In addition, a monthly fall risk assessment protocol was conducted for each resident by a clinician, which included traditional tools such as the timed up a go and habitual gait speed tests. A probabilistic methodology for generating automated gait estimates over time for the residents of the apartments from the Kinect data is described, along with results from the apartments as compared to two of the traditionally measured fall risk assessment tools. Potential applications and future work are discussed.
Keywords
biomedical measurement; gait analysis; mechanoception; probability; sensors; Microsoft Kinect sensor; clinician; computer; depth camera; fall risk assessment protocol; habitual gait speed test; in-home gait measurement; probabilistic methodology; Biomedical monitoring; Legged locomotion; Market research; Monitoring; Risk management; Time measurement; Depth camera; Kinect; fall risk; gait; Accelerometry; Actigraphy; Aged; Aged, 80 and over; Algorithms; Equipment Design; Equipment Failure Analysis; Gait; Geriatric Assessment; Home Care Services; Humans; Monitoring, Ambulatory; Reproducibility of Results; Sensitivity and Specificity; Video Games;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2013.2266341
Filename
6524042
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