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Michal Kepski
Michal Kepski
Verified email at ur.edu.pl - Homepage
Title
Cited by
Cited by
Year
Human fall detection on embedded platform using depth maps and wireless accelerometer
B Kwolek, M Kepski
Computer methods and programs in biomedicine 117 (3), 489-501, 2014
3762014
Improving fall detection by the use of depth sensor and accelerometer
B Kwolek, M Kepski
Neurocomputing 168, 637-645, 2015
1312015
Fall Detection Using Ceiling-Mounted 3D Depth Camera
M Kepski, B Kwolek
International Conference on Computer Vision Theory and Applications (VISAPP …, 2014
1012014
Fuzzy inference-based fall detection using kinect and body-worn accelerometer
B Kwolek, M Kepski
Applied Soft Computing 40, 305-318, 2016
632016
Fuzzy inference-based reliable fall detection using Kinect and accelerometer
M Kepski, B Kwolek, I Austvoll
International Conference on Artificial Intelligence and Soft Computing, 266-273, 2012
542012
Fall detection on embedded platform using kinect and wireless accelerometer
M Kepski, B Kwolek
International Conference on Computers for Handicapped Persons, 407-414, 2012
442012
Event-driven system for fall detection using body-worn accelerometer and depth sensor
M Kepski, B Kwolek
IET Computer Vision 12 (1), 48-58, 2018
242018
Embedded system for fall detection using body-worn accelerometer and depth sensor
M Kepski, B Kwolek
2015 IEEE 8th International Conference on Intelligent Data Acquisition and …, 2015
242015
Unobtrusive fall detection at home using kinect sensor
M Kepski, B Kwolek
International Conference on Computer Analysis of Images and Patterns, 457-464, 2013
202013
Detecting human falls with 3-axis accelerometer and depth sensor
M Kepski, B Kwolek
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
182014
Human fall detection using Kinect sensor
M Kepski, B Kwolek
Proceedings of the 8th international conference on computer recognition …, 2013
182013
Fall detection using kinect sensor and fall energy image
B Kwolek, M Kepski
International Conference on Hybrid Artificial Intelligence Systems, 294-303, 2013
112013
Reticular basement membrane thickness is associated with growth-and fibrosis-promoting airway transcriptome profile-study in asthma patients
S Bazan-Socha, S Buregwa-Czuma, B Jakiela, L Zareba, I Zawlik, ...
International journal of molecular sciences 22 (3), 998, 2021
92021
Human fall detection by mean shift combined with depth connected components
M Kepski, B Kwolek
International Conference on Computer Vision and Graphics, 457-464, 2012
92012
Person detection and head tracking to detect falls in depth maps
M Kępski, B Kwolek
International Conference on Computer Vision and Graphics, 324-331, 2014
72014
Fall detection using body-worn accelerometer and depth maps acquired by active camera
M Kepski, B Kwolek
International conference on hybrid artificial intelligence systems, 414-426, 2016
62016
Integration of Airway Inflammation and Remodeling Mechanisms Specific to Eosinophilic Asthma Through Differential Co-Expression of Genes in Bronchial Brush Biopsy Samples
P Kozlik, S Buregwa-Czuma, I Zawlik, A Myszka, J Zuk, A Siwiec, ...
12021
Application of fuzzy and rough logic to posture recognition in fall detection system
B Pȩkala, T Mroczek, D Gil, M Kepski
Sensors 22 (4), 1602, 2022
2022
Airway transcriptome profile determining increased reticular basement membrane thickness in asthma patients
S Bazan-Socha, S Buregwa-Czuma, B Jakiela, L Zareba, I Zawlik, ...
ALLERGY 76, 108-108, 2021
2021
New fuzzy local contrast measures: definitions, evaluation and comparison
U Bentkowska, M Kepski, M Mrukowicz, B Pękala
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2020
2020
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