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  • Aleš Procházka, Oldrich Vysata, Martin Valis, Ondrej Tupa, Martin Schätz, Vladimír Marík
  • Computer Science
  • Digit. Signal Process.
  • 2015 (First Publication: 1 December 2015)
  • This paper presents a novel method of Bayesian gait recognition using Microsoft (MS) Kinect image and depth sensors and skeleton tracking in three-dimensional space. Although video sequences acquiredContinue Reading
  • Ondrej Tupa, Aleš Procházka, +4 authors Vladimír Marík
  • Computer Science, Medicine
  • Biomedical engineering online
  • 2015 (First Publication: 24 October 2015)
  • BackgroundAnalysis 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 medicationContinue Reading
  • Aleš Procházka, Oldrich Vysata, Martin Valis, Ondrej Tupa, Martin Schätz, Vladimír Marík
  • Computer Science
  • Neural Computing and Applications
  • 2015 (First Publication: 1 October 2015)
  • 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–machineContinue Reading
  • Aleš Procházka, Oldrich Vysata, Ondrej Tupa, Mohammadreza Yadollahi, Martin Valis
  • Computer Science
  • Neural Computing and Applications
  • 2014 (First Publication: 1 November 2014)
  • Abstract 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 muscleContinue Reading
  • Aleš Procházka, Martin Schätz, Ondrej Tupa, Mohammadreza Yadollahi, Oldrich Vysata, M. Walls
  • Computer Science
  • IEEE International Conference on Image Processing…
  • 2014 (First Publication: 1 October 2014)
  • 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 dataContinue Reading
  • Aleš Procházka, Saeed Vaseghi, Mohammadreza Yadollahi, Ondrej Tupa, Jan Mares, Oldrich Vysata
  • Medicine, Mathematics, Computer Science
  • Medical & Biological Engineering & Computing
  • 2013 (First Publication: 1 April 2014)
  • 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. InContinue Reading