Analysis of gait using a treadmill and a Time-of-flight camera |
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| Abstract | We present a system that analyzes human gait using a treadmill and a Time-of-flight camera. The camera provides spatial data with local intensity measures of the scene, and data are collected over several gait cycles. These data are then used to model and analyze the gait. For each frame the spatial data and the intensity image are used to fit an articulated model to the data using a Markov random field. To solve occlusion issues the model movement is smoothened providing the missing data for the occluded parts. The created model is then cut into cycles, which are matched and through Fourier fitting a cyclic model is created. The output data are: Speed, Cadence, Step length and Range-of-motion. The described output parameters are computed with no user interaction using a setup with no requirements to neither background nor subject clothing. |
| Type | Conference paper [With referee] |
| Conference | Dynamic 3D Imaging, proc. of DAGM 2009 Workshop, Dyn3D 2009, Jena, Germany, September 9, 2009 |
| Editors | Kolb, Andreas; Koch, Reinhard |
| Year | 2009 Month September Vol. 5742 pp. 154-166 |
| Publisher | Springer Verlag |
| Address | Heidelberg |
| Series | Lecture Notes in Computer Science |
| ISBN / ISSN | ISBN: 978-3-642-03777-1 |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |