An Advanced Hybrid Machine Learning Approach for Assessment of the Change of Gait Symmetry

@inproceedings{JIANNING2009AnAH,
  title={An Advanced Hybrid Machine Learning Approach for Assessment of the Change of Gait Symmetry},
  author={WU JIANNING},
  year={2009}
}
  • WU JIANNING
  • Published 2009
The quantitative assessment of the change of gait symmetry has played a very important role in the clinical diagnostics. This paper investigated the application of an advanced hybrid machine learning approach such as the combining kernel-based principal component analysis (KPCA) with support vector machine (SVM) to evaluate the change of gait symmetry quantitatively based on the basic idea that the discrimination of the functional change of between human lower extremities can be hypothesized as… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-4 of 4 references

Gait symmetry and limb dominance in ablebodied gait, Gait and Posture

  • H. Sadeghi, P. Allard, F.Prince, H. Labelle
  • Gait Analysis Methodologies and Clinical…
  • 2001
Highly Influential
4 Excerpts

Simultaneous bilateral 3-D able-bodied gait

  • P.Allard, R.Lachance, R. Aissaoui
  • Human Movement Science,
  • 1996
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…