Mobility Assessment Tool (MAT), Computer Vision for A Purely Objective Gait-Balance Test. Bunn, F., Allison, R. S., Sergio, L., Gorbet, D., Bunn, S., & Zhao, J. In Falls & Mobility Network Meeting 2016 - Research and Innovative Clinical Practices.. 2016. abstract bibtex The traditionally subjective mobility gait and balance test – the Tinetti – is now an objective computer measurement. The Tinetti is a standard test for determining the risk of falling. With the help of York University (Computer Science & Engineering and Health/Kinesiology), and support of the NSERC Engage program, the Mobility Assessment Tool, MAT, was developed as a non-invasive, reproducible, reliable test based on a modified Tinetti test. MAT uses the analysis of a three minute video of a subject sitting, standing up, sitting back down, walking a few paces, and turning in a circle and on the spot. The MAT analysis software runs on an off the shelf laptop computer to analyze the video taken with a standard Microsoft Kinect dual channel camera. Built into the camera is the separation of the moving subject from the background. It also overlays a twenty two point ``skeleton'' representing the movement of the skeleton-points of the subject. The analysis takes a few seconds and produces a measurement of thirty two different parameters of the subject's movement which is depicted by the skeleton points. Twenty two of these parameters are used to calculate the Tinetti score for the risk of falling (low, moderate, or high, risk). The discussion will focus on the simplicity and ease of use of the MAT as a diagnostic and tracking tool. Applications of the MAT include: 1) tracking the rehabilitation milestones for concussion patients, 2) monitoring the rehabilitation of stroke patients, 3) tracking the stabilization or deterioration of Alzheimer's patients.
@incollection{Bunn:2016aa,
abstract = {The traditionally subjective mobility gait and balance test -- the Tinetti -- is now an objective computer measurement. The Tinetti is a standard test for determining the risk of falling. With the help of York University (Computer Science \& Engineering and Health/Kinesiology), and support of the NSERC Engage program, the Mobility Assessment Tool, MAT, was developed as a non-invasive, reproducible, reliable test based on a modified Tinetti test. MAT uses the analysis of a three minute video of a subject sitting, standing up, sitting back down, walking a few paces, and turning in a circle and on the spot.
The MAT analysis software runs on an off the shelf laptop computer to analyze the video taken with a standard Microsoft Kinect dual channel camera. Built into the camera is the separation of the moving subject from the background. It also overlays a twenty two point ``skeleton'' representing the movement of the skeleton-points of the subject. The analysis takes a few seconds and produces a measurement of thirty two different parameters of the subject's movement which is depicted by the skeleton points. Twenty two of these parameters are used to calculate the Tinetti score for the risk of falling (low, moderate, or high, risk). The discussion will focus on the simplicity and ease of use of the MAT as a diagnostic and tracking tool. Applications of the MAT include: 1) tracking the rehabilitation milestones for concussion patients, 2) monitoring the rehabilitation of stroke patients, 3) tracking the stabilization or deterioration of Alzheimer's patients.},
annote = {Toronto
Falls \& Mobility Network Meeting Nov. 21, 2016},
author = {Bunn, F. and Allison, R. S. and Sergio, L. and Gorbet, D. and Bunn, S. and Zhao, J.},
booktitle = {Falls \& Mobility Network Meeting 2016 - Research and Innovative Clinical Practices.},
date-added = {2016-12-04 21:58:08 +0000},
date-modified = {2016-12-04 22:12:07 +0000},
keywords = {Optic flow & Self Motion (also Locomotion & Aviation)},
title = {Mobility Assessment Tool ({MAT}), Computer Vision for A Purely Objective Gait-Balance Test.},
year = {2016}}
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With the help of York University (Computer Science & Engineering and Health/Kinesiology), and support of the NSERC Engage program, the Mobility Assessment Tool, MAT, was developed as a non-invasive, reproducible, reliable test based on a modified Tinetti test. MAT uses the analysis of a three minute video of a subject sitting, standing up, sitting back down, walking a few paces, and turning in a circle and on the spot. The MAT analysis software runs on an off the shelf laptop computer to analyze the video taken with a standard Microsoft Kinect dual channel camera. Built into the camera is the separation of the moving subject from the background. It also overlays a twenty two point ``skeleton'' representing the movement of the skeleton-points of the subject. The analysis takes a few seconds and produces a measurement of thirty two different parameters of the subject's movement which is depicted by the skeleton points. 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