dr inż. Michał Kępski

Publikacje

• [współaut.] Koźlik-Siwiec P, Buregwa-Czuma S, Zawlik I [et al.] Co-Expression Analysis of Airway Epithelial Transcriptome in Asthma Patients with Eosinophilic vs. Non-Eosinophilic Airway Infiltration. - International Journal of Molecular Sciences, 2023, Vol. 24, iss. 4
• [współaut.] Krzeszowski T, Świtoński A, Calafate C Intelligent Sensors for Human Motion Analysis. - Sensors, 2022, Vol. 22, iss. 13
• [współaut.] Pękala B, Mroczek T, Gil D Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System. - Sensors, 2022, Vol. 22, iss. 4
• [współaut.] Węgrzyn P, Grabska-Gradzińska I Eye Tracking Measurement of Train Drivers' Attention Based on Quasi-static Areas of Interest W: Bio-inspired Systems and Applications : from Robotics to Ambient Intelligence : 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II / editors José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Hojjat Adeli. Cham, Springer: 2022, S. 3-12
• [współaut.] Bazan-Socha S, Buregwa-Czuma S, Jakieła B [et al.] Reticular Basement Membrane Thickness Is Associated with Growth- and Fibrosis-Promoting Airway Transcriptome Profile-Study in Asthma Patients. - International Journal of Molecular Sciences, 2021, Vol. 22, iss. 3
• [współaut.] Bentkowska U, Mrukowicz M, Pękala B New fuzzy local contrast measures: definitions, evaluation and comparison W: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway, Institute of Electrical and Electronics Engineers (IEEE): 2020, S. 1-8
• [współaut.] Kwolek B Event-driven system for fall detection using body-worn accelerometer and depth sensor. - IET Computer Vision, 2018, Vol. 12, iss. 1, s. 48-58
• [współaut.] Kwolek B Fuzzy inference-based fall detection using kinect and body-worn accelerometer. - Applied Soft Computing, 2016, Vol. 40, s. 305-318
• [współaut.] Kwolek B Fall Detection Using Body-Worn Accelerometer and Depth Maps Acquired by Active Camera W: Hybrid Artificial Intelligent Systems : 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings / eds. Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado. Berlin, Springer: 2016, S. 414-426
• [współaut.] Kwolek B Improving fall detection by the use of depth sensor and accelerometer. - Neurocomputing, 2015, vol. 168, p. 637-645
• [współaut.] Kwolek B Embedded system for fall detection using body-worn accelerometer and depth sensor W: IDAACS'2015 : proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) : September 24-26, 2015, Warsaw, Poland / Institute of Electrical and Electronics Engineers. Ukraine Section. I&M/CI Joint Societies Chapter; Institute of Electrical and Electronics Engineers. Piscataway, Institute of Electrical and Electronics Engineers (IEEE): 2015, S. 755-759
• [współaut.] Kwolek B Human fall detection on embedded platform using depth maps and wireless accelerometer. - Computer Methods and Programs in Biomedicine, 2014, vol. 117, iss. 3, p. 489-501
• [współaut.] Kwolek B Detecting Human Falls with 3-Axis Accelerometer and Depth Sensor W: 36th Annual International Conference of The IEEE Engineering in Medicine and Biology Society (EMBC). New York, Institute of Electrical and Electronics Engineers (IEEE): 2014, S. 770-773
• [współaut.] Kwolek B Fall Detection Using Kinect Sensor and Fall Energy Image W: Hybrid Artificial Intelligent Systems / ed. Jeng-Shyang Pan, Marios M. Polycarpou, Michał Woźniak, Andre C. P. L. F. de Carvalho, Hector Quintian, Emilio Corchado. Berlin ; Heidelberg, Springer: 2014, S. 294-303
• [współaut.] Kwolek B Person detection and head tracking to detect falls in depth maps W: Computer vision and graphics : international conference : ICCVG 2014 : Warsaw, Poland, September 15-17, 2014 : proceedings / eds. Leszek J. Chmielewski, Ryszard Kozera, Bok-Suk Shin, Konrad Wojciechowski. Cham, Springer: 2014, S. 324-331
• [współaut.] Kwolek B Human fall detection using kinect sensor W: Proceedings of the 8th International conference on Computer Recognition Systems CORES 2013 / eds. Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michał Wozniak, Andrzej Zolnierek. Heidelberg, [etc.], Springer: 2013, S. 743-752
• [współaut.] Kwolek B Unobtrusive Fall Detection at Home Using Kinect Sensor W: Computer Analysis of Images and Patterns. Pt 1 / ed. Richard Wilson, Edwin Hancock, Adrian Bors, William Smith. Berlin ; Heidelberg, Springer: 2013, S. 457-464