Gait analysis and validation using voxel data.
In this paper, we present a method for extracting gait parameters including walking speed, step time and step length from a three-dimensional voxel reconstruction, which is built from two calibrated camera views. These parameters are validated with a GAITRite Electronic mat and a Vicon motion capture system. Experiments were conducted in which subjects walked across the GAITRite mat at various speeds while the Vicon cameras recorded the motion of reflective markers attached to subjects' shoes, and our two calibrated cameras captured the images. Excellent agreements were found for walking speed. Step time and step length were also found to have good agreement given the limitation of frame rate and voxel resolution.
Wang
Fang
F
Electrical and Computer Engineering Department, University of Missouri, Columbia, MO 65211, USA. fwnf5@mizzou.edu
Stone
Erik
E
Dai
Wenqing
W
Skubic
Marjorie
M
Keller
James
J
D000465:Algorithms; D005684:Gait / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010808:Physical Examination / Q000379:methods*; D005082:Physical Exertion / Q000502:physiology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014741:Video Recording / Q000379:methods*; D016138:Walking / Q000502:physiology*