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

@article{Eskofier2013MarkerbasedCO,
  title={Marker-based classification of young-elderly gait pattern differences via direct PCA feature extraction and SVMs.},
  author={Bjoern M. Eskofier and Peter A Federolf and Patrick Franz-Xaver Kugler and Benno M Nigg},
  journal={Computer methods in biomechanics and biomedical engineering},
  year={2013},
  volume={16 4},
  pages={435-42}
}
The classification of gait patterns has great potential as a diagnostic tool, for example, for the diagnosis of injury or to identify at-risk gait in the elderly. The purpose of the paper is to present a method for classifying group differences in gait pattern by using the complete spatial and temporal information of the segment motion quantified by the markers. The classification rates that are obtained are compared with previous studies using conventional classification features. For our… CONTINUE READING

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