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Computer Methods in Biomechanics and Biomedical Engineering Volume 16, 2013 - Issue 4
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Original Articles

Marker-based classification of young–elderly gait pattern differences via direct PCA feature extraction and SVMs

Bjoern M. Eskofier Digital Sports Group, Pattern Recognition Laboratory (Computer Science 5), Department of Computer Science, Friedrich-Alexander University of Erlangen-Nuremberg, Haberstrasse 2, 91058, Erlangen, Germany; Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, CanadaCorrespondence[email protected]
,
Peter Federolf Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada; Norwegian School of Sport Sciences, Oslo, Norway
,
Patrick F. Kugler Digital Sports Group, Pattern Recognition Laboratory (Computer Science 5), Department of Computer Science, Friedrich-Alexander University of Erlangen-Nuremberg, Haberstrasse 2, 91058, Erlangen, Germany
&
Benno M. Nigg Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, Canada
Pages 435-442 | Received 29 Jun 2011, Accepted 14 Sep 2011, Published online: 08 Dec 2011

References

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