Abstract
The paper presents method of motion analysis supporting diagnosis of gait abnormalities on the basis of reduced kinematical data of a gait. The proposed method consist of the following steps: kinematical data reduction by Principal Component Analysis, determination of the Fourier component for the 3D PCA trajectories and supervised learning. To examine proposed approach, we have collected database of gaits containing data of coxarthrosis patients. We have got 100% of classification accuracy for the considered disease.
| Translated title of the contribution | Diagnostyka patologii ruchu na podstawie zredukowanych danych kinematycznych |
|---|---|
| Original language | English |
| Pages (from-to) | 173-176 |
| Number of pages | 4 |
| Journal | Przeglad Elektrotechniczny |
| Volume | 87 |
| Issue number | 12 B |
| Publication status | Published - 2011 |
Keywords
- Coxarthrosis
- Fourier transform
- Motion capture
- Supervised learning
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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