Passive, In-Home Gait Measurement Using an Inexpensive Depth Camera: Initial Results

Erik Stone; Marjorie Skubic

6th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Passive, In-Home Gait Measurement Using an Inexpensive Depth Camera: Initial Results

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@INPROCEEDINGS{10.4108/icst.pervasivehealth.2012.248731,
    author={Erik Stone and Marjorie Skubic},
    title={Passive, In-Home Gait Measurement Using an Inexpensive Depth Camera: Initial Results},
    proceedings={6th International Conference on Pervasive Computing Technologies for Healthcare},
    publisher={IEEE},
    proceedings_a={PERVASIVEHEALTH},
    year={2012},
    month={7},
    keywords={gait kinect fall risk in-home monitoring},
    doi={10.4108/icst.pervasivehealth.2012.248731}
}

Erik Stone
Marjorie Skubic
Year: 2012
Passive, In-Home Gait Measurement Using an Inexpensive Depth Camera: Initial Results
PERVASIVEHEALTH
ICST
DOI: 10.4108/icst.pervasivehealth.2012.248731

Erik Stone¹^,*, Marjorie Skubic¹

1: University of Missouri - Columbia

*Contact email: ErikStone@mizzou.edu

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.

Keywords: gait kinect fall risk in-home monitoring

Published: 2012-07-03
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.pervasivehealth.2012.248731