TY  - JOUR
PY  - 2015//
TI  - Easy-to-use, general, and accurate multi-Kinect calibration and its application to gait monitoring for fall prediction
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Staranowicz, Aaron N.
A1  - Ray, Christopher
A1  - Mariottini, Gian-Luca
SP  - 4994
EP  - 4998
VL  - 2015
IS  - 
N2  - 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 "gait"). 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>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2015.7319513
ID  - ref1
ER  -