@article{ref1,
title="Easy-to-use, general, and accurate multi-Kinect calibration and its application to gait monitoring for fall prediction",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2015",
author="Staranowicz, Aaron N. and Ray, Christopher and Mariottini, Gian-Luca",
volume="2015",
number="",
pages="4994-4998",
abstract="Falls are the most-common causes of unintentional injury and death in older adults. Many clinics, hospitals, and health-care providers are urgently seeking accurate, low-cost, and easy-to-use technology to predict falls before they happen, e.g., by monitoring the human walking pattern (or &quot;gait&quot;). Despite the wide popularity of Microsoft's Kinect and the plethora of solutions for gait monitoring, no strategy has been proposed to date to allow non-expert users to calibrate the cameras, which is essential to accurately fuse the body motion observed by each camera in a single frame of reference. In this paper, we present a novel multi-Kinect calibration algorithm that has advanced features when compared to existing methods: 1) is easy to use, 2) it can be used in any generic Kinect arrangement, and 3) it provides accurate calibration. Extensive real-world experiments have been conducted to validate our algorithm and to compare its performance against other multi-Kinect calibration approaches, especially to show the improved estimate of gait parameters. Finally, a MATLAB Toolbox has been made publicly available for the entire research community.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/EMBC.2015.7319513",
url="http://dx.doi.org/10.1109/EMBC.2015.7319513"
}