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photo Jaromir Przybylo AGH University of Science and Technology
Department of Biocybernetics and Biomedical Engineering
al. Mickiewicza 30
30-059 Krakow, POLAND
E-mail: przybylo@agh.edu.pl
Polska wersja General Research Teaching Download Publications

 

 







 


General Information:
Jaromir Przybylo, born in 1975r in Krakow, Poland. He graduated with an outstanding proficiency, with M.Sc. Eng. degree in 2000 from the Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, AGH-UST. PhD degree (with honours) received in 2008 in Computer Science: Biocybernetics and Biomedical Engineering. He works at the Department of Biocybernetics and Biomedical Engineering AGH-UST (as an assistant-professor).
He works as a consultant and application engineer at the ONT Krakow, Poland (The MathWorks distributor).
Detailed CV - available on request - przybylo@agh.edu.pl

Research areas:

My scientific interests focus on Assistive Technology that use optical observation and image analysis and recognition methods. A potential applications of research results include: systems allowing assessing the emotional state of a person and impact of that state on performed activities, detecting sudden changes in health or enabling disabled people using computers and other devices.

Research topics:
  • Computer Vision algorithms and applications:
    • Human-Computer Interaction, Multimodal Interfaces
    • Mixed-reality and Augmented Reality Systems
    • Video surveillance
  • Biomedical Engineering and Ambient Assisted Living Technologies (AALT)
  • Hardware Implementation of Computer Vision Algorithms (FPGA, GPU)
Selected publications:
  • Intelligent Eye-Tracker-Based Methods for Detection of Deception: A Survey. Celniak, W., Słapczyńska, D., Pająk, A., Przybyło, J., & Augustyniak, P., Electronics, 2023, 12(22), 4627. (link to article)
  • Touchless Heart Rate Monitoring from an Unmanned Aerial Vehicle Using Videoplethysmography. Pająk, A., Przybyło, J., Augustyniak, P., Sensors 2023, 23, 7297. (link to article)
  • A deep learning approach for remote heart rate estimation. Przybyło, J., Biomedical Signal Processing and Control, 74, 103457. (link to article)
  • Continuous Distant Measurement of the User’s Heart Rate in Human-Computer Interaction Applications. Przybyło, J. Sensors. 2019; 19(19):4205. (link to article) (plots and results)
  • Eyetracking-based assessment of affects-related decay of human performance in visual tasks. Przybylo, J., Kantoch, E., Augustyniak, P. Future Generation Computer Systems, ISSN 0167-739X, 2018 (link to article) (plots and results)
  • Distant Pulse Measurement System for Real-Time Surveillance Applications. Przybylo, J., Jablonski, M., Kantoch, E., Augustyniak, P. Computing in Cardiology, vol.44, 2017 (link to article)
  • Application of model-based design in algorithms’ prototyping for experimental acorn scarification rig. Przybyło, J., Jabłonski, M., Pociecha, D., Tadeusiewicz, R., Piłat, A., Walczyk, J., Kiełbasa, P., Szczepaniak, J., Adamczyk, F. Journal of Research and Applications in Agricultural Engineering, 62(1), 166-170, 2017.
  • Functional Endoscopic Sinus Surgery with Head Mounted Display and Video Analysis. Przybylo, J., & Dobosz, P., Przybylo, J., & Dobosz, P. (2017, September). In Polish Conference on Biocybernetics and Biomedical Engineering (pp. 182-191). Springer, Cham. (link to article)
  • Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera. Jaromir Przybyło, Eliasz Kańtoch, Mirosław Jabłoński, Piotr Augustyniak, Metrology and Measurement Systems, 23(4), pp. 579-592. Retrieved 15 Dec. 2016, from doi:10.1515/mms-2016-0052 (link to article)
  • Evaluation of MoG video segmentation on GPU-based HPC system. Mirosław Jabłoński, Jaromir Przybyło, Computing and Informatics, Slovak Academy of Sciences. Institute of Informatics ; ISSN 1335-9150. Tytuł poprz.: Computers and Artificial Intelligence. 2016 vol. 35 no. 5, s. 1141-1159. Bibliogr., Abstr.
  • Landmark detection for wearable home care ambient assisted living system. Jaromir PRZYBYŁO, HSI'2015: 8th international conference on Human System Interaction : Warsaw, 25-27 June 2015 : proceedings. IEEE, cop. 2015. - e-ISBN: 978-1-4673-6936-7. - S. 244-248. - Bibliogr. s. 248, Abstr.
  • Vision based facial action recognition system for people with disabilities. Jaromir PRZYBYŁO, Information Technologies in Biomedicine : third international conference, ITIB 2012 : Gliwice, Poland, June 11-13, 2012 : proceedings / eds. Ewa Piętka, Jacek Kawa. - Berlin ; Heidelberg : Springer-Verlag, cop. 2012. - (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Bioinformatics ; LNBI 7339). - ISBN: 978-3-642-31195-6. - S. 577-588. - Bibliogr. s. 587-588, Abstr.
  • Eye and nostril localization for automatic calibration of facial action recognition system. Jaromir PRZYBYŁO, Computer Recognition Systems 3, eds. Marek Kurzynski, Michał Wozniak. Berlin ; Heidelberg : Springer-Verlag, cop. 2009. (Advances in Intelligent and Soft Computing ; ISSN 1867-5662 ; 57) ISBN: 978-3-540-93904-7. S. 53-61. - Bibliogr. s. 60-61, Summ.
  • PixelStreams-based implementation of videodetector. Marek GORGOŃ, Piotr PAWLIK, Mirosław JABŁOŃSKI, Jaromir PRZYBYŁO FCCM 2007 : 15th annual IEEE symposium on Field-programmable Custom Computing Machines : 23-25 April 2007, Napa, California : proceedings. Los Alamitos ; Washington ; Tokyo : The Institute of Electrical and Electronics Engineering, cop. 2007. ISBN-13 978-0-7695-2940-0 ; ISBN-10 0-7695-2940-2. S. 321-322. Bibliogr. s. 322, Abstr.
  • FPGA-based road traffic videodetector. Marek GORGOŃ, Piotr PAWLIK, Mirosław JABŁOŃSKI, Jaromir PRZYBYŁO DSD 2007 : 10th Euromicro conference on Digital System Design architectures, methods and tools : 29-31 August 2007 Lübeck, Germany ed. Hana Kubátová. - Los Alamitos ; Washington ; Tokyo : The Institute of Electrical and Electronics Engineers, cop. 2007. - ISBN 0-7695-2978-X ; ISBN 978-0-7695-2978-3. - S. 412-419. - Bibliogr. s. 419, Abstr.
  • Ph.D. thesis: "Automatic facial action recognition in face images and analysis of those within Human-Machine Interaction context"(in polish) - PDF
  • Selected publications PDF
Teaching:
  • Multimodal Interfaces
  • Virtual Reality and Stereovision Systems
  • Sensors and machine intelligence
  • Telemedicine