Paper Info
Title
Passive, in-home gait measurement using an inexpensive depth camera: Initial results
Abstract
In-home gait measurement results from the apartments of seven older adults obtained using an environmentally mounted depth camera, the Microsoft Kinect, are presented. Previous work evaluating the use of the Kinect for in-home gait assessment in a lab setting has shown the potential of this approach. In this work, a single Kinect sensor and computer have been deployed in five apartments, two of which contain multiple residents, in an independent living facility for older adults. Data collected in the five apartments, along with techniques for generating automated gait measurements from the data, are presented.
Year
DOI
Venue
2012
10.4108/icst.pervasivehealth.2012.248731
Pervasive Computing Technologies for Healthcare
Keywords
Field
DocType
geriatrics,home computing,medical computing,Microsoft Kinect,automated gait measurements,environmentally mounted depth camera,in-home gait measurement,inexpensive depth camera,older adults,single Kinect sensor,Kinect,fall risk,gait,passive monitoring
Computer vision,Gait,Passive monitoring,Computer science,Fall risk,Home computing,Gait analysis,Artificial intelligence,Independent living
Conference
ISBN
Citations 
PageRank 
978-1-936968-43-5
12
1.38
References 
Authors
3
2
Name
Order
Citations
PageRank
Erik E. Stone138131.42
Marjorie Skubic21045105.36