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Ondrej Tupa
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2020 – today
- 2021
- [j6]Ondrej Dostal, Ales Procházka
, Oldrich Vysata, Ondrej Tupa, Pavel Cejnar, Martin Valis:
Recognition of motion patterns using accelerometers for ataxic gait assessment. Neural Comput. Appl. 33(7): 2207-2215 (2021) - [j5]Oldrich Vysata, Ondrej Tupa
Classification of Ataxic Gait. Sensors 21(16): 5576 (2021)
2010 – 2019
- 2016
- [c4]Martin Schätz
Face movement analysis with MS Kinect. IWCIM 2016: 1-5 - [c3]Ondrej Tupa, Oldrich Vysata
Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring. IWCIM 2016: 1-5 - 2015
- [j4]Ales Procházka
Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect. Digit. Signal Process. 47: 169-177 (2015) - [j3]Ales Procházka, Oldrich Vysata
Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders. Neural Comput. Appl. 26(7): 1621-1629 (2015) - [c2]Martin Schätz
Statistical recognition of breathing by MS Kinect depth sensor. IWCIM 2015: 1-4 - 2014
- [j2]Ales Procházka, Saeed Vaseghi, Mohammadreza Yadollahi, Ondrej Tupa
Remote physiological and GPS data processing in evaluation of physical activities. Medical Biol. Eng. Comput. 52(4): 301-308 (2014) - [j1]Ales Procházka, Oldrich Vysata
Discrimination of axonal neuropathy using sensitivity and specificity statistical measures. Neural Comput. Appl. 25(6): 1349-1358 (2014) - [c1]Ales Procházka, Martin Schätz
The MS kinect image and depth sensors use for gait features detection. ICIP 2014: 2271-2274
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