Ondrej Tupa

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BACKGROUND Analysis of gait features provides important information during the treatment of neurological disorders, including Parkinson's disease. It is also used to observe the effects of medication and rehabilitation. The methodology presented in this paper enables the detection of selected gait attributes by Microsoft (MS) Kinect image and depth sensors(More)
Movement disorders, problems with motion and gait stability related to aging form a very intensively studied research area. The paper presents a contribution to these topics through the use of data acquired by motion sensors and namely image and depth sensors of the MS Kinect. While video sequences obtained by complex camera systems can be used for the(More)
The monitoring of data from global positioning system (GPS) receivers and remote sensors of physiological and environmental data allow forming an information database for observed data processing. In this paper, we propose the use of such a database for the analysis of physical activities during cycling. The main idea of the proposed algorithm is to use(More)
This paper presents a novel method of gait recognition that uses the image and depth sensors of the Microsoft (MS) Kinect to track the skeleton of a moving body and allows for simple human–machine interaction. While video sequences acquired by complex camera systems enable very precise data analyses and motion detection, much simpler technical devices can(More)
In needle electromyography, general mathematical methods of pattern recognition and signal analysis can be used to detect motor unit potentials and to classify various types of muscle diseases. The goal of the paper is to contribute to various methods enabling discrimination of individuals with axonal neuropathy (a positive set) from normal cases (a control(More)
Measuring of breathing with contact methods, like respiratory belts, is very uncomfortable for patients and in case of complex sleep analysis, cables from different sensors can substantially affect the quality of the sleep. This paper presents the contactless measuring of breathing using the MS Kinect depth sensor, and it compares the results obtained with(More)
This experimental study investigated possibility of face symmetry and symmetric face movements evaluation using MS Kinects HD face tracking. The main motivation for this research is facial paralysis or partial loss of muscle control caused by stroke. Evaluation of face symmetry can be used as an indicator of positive improvement of such disability.(More)
This paper investigates Kinect device application during rehabilitation of people with an ischemic stroke. There are many similar application using Kinect as a tool during rehabilitation. This paper is focused on measurement of Kinect's spatial accuracy and proposition of body states and exercises according to the Motor assessment scale for stroke (MAS).(More)
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