Paper Info
Title
Mapping Kinect-based in-home gait speed to TUG time: a methodology to facilitate clinical interpretation
Abstract
A methodology for mapping in-home gait speed (IGS), measured unobtrusively and continuously in the homes of older adults, to Timed-Up-and-Go (TUG) time is presented. A Kinect-based gait system was used to collect in-home gait data on 15 older adults over time periods of up to 16 months. Concurrently, the participants completed a monthly clinician administered fall risk assessment protocol that included TUG and habitual gait speed (HGS) tests. A theoretical analysis of expected performance is presented, and the performance of the IGS-based TUG estimates is compared against that of estimates based on HGS measured at the same time as the TUG. Results indicate that the IGS-based estimates are as accurate as the HGS-based estimates as compared to the observed TUG times. After filtering the TUG times to reduce noise, the IGS-based estimates are more accurate. The mapping of in-home sensor data to well studied domains facilitates clinical interpretation of the in-home data.
Year
DOI
Venue
2013
10.4108/icst.pervasivehealth.2013.252097
PervasiveHealth
Keywords
Field
DocType
in-home data,in-home gait speed,igs-based tug estimate,clinical interpretation,kinect-based gait system,tug time,observed tug time,in-home gait data,kinect-based in-home gait speed,older adult,habitual gait speed,igs-based estimate,gait,reliability,kinect,image sensors,sensor fusion,time measurement
Gait,Computer science,Simulation,Fall risk,Physical medicine and rehabilitation
Conference
ISSN
Citations 
PageRank 
2153-1633
5
0.61
References 
Authors
7
2
Name
Order
Citations
PageRank
Erik E. Stone138131.42
Marjorie Skubic21045105.36