Ondrej Tupa

According to our database, Ondrej Tupa authored at least 10 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Classification of Ataxic Gait.

Oldrich Vysata, Ondrej Tupa, Ales Procházka, Rafael Dolezal, Pavel Cejnar, Aprajita Milind Bhorkar, Ondrej Dostal, Martin Valis

Sensors, 2021

Recognition of motion patterns using accelerometers for ataxic gait assessment.

Ondrej Dostal, Ales Procházka, Oldrich Vysata, Ondrej Tupa, Pavel Cejnar, Martin Valis

Neural Comput. Appl., 2021

2016

Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring.

Ondrej Tupa, Oldrich Vysata, Ales Procházka, Ondrej Dostal, Martin Schätz

Proceedings of the International Workshop on Computational Intelligence for Multimedia Understanding, 2016

Face movement analysis with MS Kinect.

Martin Schätz, Ales Procházka, Ondrej Tupa, Oldrich Vysata, Vojtech Sedlak

Proceedings of the International Workshop on Computational Intelligence for Multimedia Understanding, 2016

2015

Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders.

Ales Procházka, Oldrich Vysata, Martin Valis, Ondrej Tupa, Martin Schätz, Vladimír Marík

Neural Comput. Appl., 2015

Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect.

Ales Procházka, Oldrich Vysata, Martin Valis, Ondrej Tupa, Martin Schätz, Vladimír Marík

Digit. Signal Process., 2015

Statistical recognition of breathing by MS Kinect depth sensor.

Martin Schätz, Fabio Centonze, Jirí Kuchynka, Ondrej Tupa, Oldrich Vysata, Oana Geman, Ales Procházka

Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015

2014

Discrimination of axonal neuropathy using sensitivity and specificity statistical measures.

Ales Procházka, Oldrich Vysata, Ondrej Tupa, Mohammadreza Yadollahi, Martin Valis

Neural Comput. Appl., 2014

Remote physiological and GPS data processing in evaluation of physical activities.

Ales Procházka, Saeed Vaseghi, Mohammadreza Yadollahi, Ondrej Tupa, Jan Mares, Oldrich Vysata

Medical Biol. Eng. Comput., 2014

The MS kinect image and depth sensors use for gait features detection.

Ales Procházka, Martin Schätz, Ondrej Tupa, Mohammadreza Yadollahi, Oldrich Vysata, M. Walls

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014