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Switonski A.,Polsko Japonska Wyzsza Szkola Technik Komputerowych | Switonski A.,Silesian University of Technology | Mucha R.,Slaski University Medyczny | Danowski D.,Zespol Sanatoryjno Szpitalny Rehabilitacji Narzadu Ruchu | And 6 more authors.
Przeglad Elektrotechniczny | Year: 2011

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. Source


Switonski A.,Polsko Japonska Wyzsza Szkola Technik Komputerowych | Switonski A.,Silesian University of Technology | Mucha R.,Slaski University Medyczny | Danowski D.,Zespol Sanatoryjno Szpitalny Rehabilitacji Narzadu Ruchu | And 5 more authors.
Przeglad Elektrotechniczny | Year: 2011

The paper is devoted to the gait identification challenges. It evaluates human abilities to recognize gait on the basis of skeleton animations. Further, it proposes the method of gait identification based on the kinematical data.The feature extraction approach and supervised learning are applied. To explore the most individual joints movements, aggregated feature rankings are calculated. To examine the proposed method, the database containing 353 gaits of 25 different actors is collected in the motion capture laboratory. We have obtained 99.7% of classification accuracy. Source


Switonski A.,Polsko Japonska Wyzsza Szkola Technik Komputerowych | Switonski A.,Silesian University of Technology | Blachowicz T.,Silesian University of Technology | Zielinski M.,Akademia Medyczna we Wroclawiu | And 3 more authors.
Przeglad Elektrotechniczny | Year: 2011

We have proposed and deployed prototyped multispectral capturing device for the ophthalmic diagnosis. The main component of the device are slit lamp, liquid crystal tunable filter and high sensitive monochrome camera. The applied hardware allows to obtain 21 spectral channels in the visible light range. The device has been calibrated based on the captured images of the colorchecker colors with known RGB and spectral values.. The proposed device is focused on the diagnoses of cancer, PEX, galucoma and diabetic retinopathy,. Source


Josinski H.,Silesian University of Technology | Switonski A.,Silesian University of Technology | Michalczuk A.,Polsko Japonska Wyzsza Szkola Technik Komputerowych | Wojciechowski K.,Silesian University of Technology
Przeglad Elektrotechniczny | Year: 2012

The authors present results of the research aiming at human identification based on tensor representation of the gait motion capture data. High-dimensional tensor samples were reduced by means of the multilinear principal component analysis (MPCA). For the purpose of classification the following methods from the WEKA software were used: k Nearest Neighbors (kNN), Naive Bayes, Multilayer Perceptron, and Radial Basis Function Network. The maximum value of the correct classification rate (CCR) was achieved for the classifier based on the multilayer perceptron. Source

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