Human Skeleton Analysis and Kinematics
The team focuses on the mathematical modeling of human movement and the automated extraction of biometric data from skeletal sequences, primarily utilizing depth sensors (e.g., Microsoft Kinect).
We dive into the core of cutting-edge research that bridges science and technology
image processing, signal processing, neural networks, 3D images, MATLAB, Python,
applications, GUI, C#, web, databases, RPD, 3D vision, camera
process control, Simulink
humidity, light, CO2, fatigue, web, mobile apps
raspberryPi, Arduino, sensors
web, online
GUI, C#, SWIFT, Python
Are you interesting in biomedical data analysis, modeling, VR, process control, neural networks, signal processing?
Explore the latest research papers, articles, and findings from the OptimCyb group. Our interdisciplinary work covers chemical engineering, artificial intelligence, signal processing, and mathematical modelling. Stay updated on our contributions to the scientific community and discover how our research drives innovation and advances in technology:
We would like to express our sincere gratitude for the support and collaboration that strengthen our research group.








Martin Chovanec (FNKV)
Jan Panuš (UPCE)
Jan Vodička (PKN)
Vít Blanař (UPCE)
Oldřich Vyšata
Bridging AI, chemical engineering, and medicine to deliver innovative solutions for industrial optimization and advanced healthcare diagnostics.
The team focuses on the mathematical modeling of human movement and the automated extraction of biometric data from skeletal sequences, primarily utilizing depth sensors (e.g., Microsoft Kinect).

Key Research Focus
The team develops automated systems for the objective evaluation of facial nerve disorders (facial palsy) using 3D imaging technology and artificial intelligence.