Konrad Wojciechowski

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We propose the method of human identification based on the reduced kinematic data of the gait. In the first stage the pose descriptions of the given skeleton model are reduced by the linear principal component analysis. We obtain the ndimensional motion trajectories of principal components. Afterwards, we use two approaches: feature extraction and dynamic(More)
Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This paper has been digitized, optimized for electronic delivery and stamped with digital signature within the project DML-CZ: The Czech Digital(More)
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(More)
The aim of the work presented in this paper is to investigate experimentally the behavior of different types of anisotropic diffusion schemes. The efficiency of the filters based on the anisotropic diffusion is determined to large extent by the properties of the conductance function in the PDE equation, which describes the diffusion process. Changing the(More)
INTRODUCTION Deficits in area of communication, crucial for maintaining proper social bonds, may have a prominent adverse impact on quality of life in patients with schizophrenia. Social exclusion, lack of employment and deterioration of family life, may be consequences of aggravated social competencies, caused by inability to properly exhibit and interpret(More)
The number of patients with heart failure implantable cardiac electronic devices (CIEDs) is growing. Hospitalization rate in this group is very high and generates enormous costs. To avoid the need for hospital treatment, optimized monitoring and follow-up is crucial. Remote monitoring (RM) has been widely put into practice in the management of CIEDs but it(More)
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(More)