1. Kwolek B., Kępski M.: Fuzzy inference-based fall detection using kinect and body-worn accelerometer, Applied Soft Computing, Volume 40, March 2016, Pages 305-318, ISSN 1568-4946 2. Kwolek B., Kępski M.: Improving fall detection by the use of depth sensor and accelerometer; Neurocomputing, Volume 168, November 2015, pp. 637-645, ISSN 0925-2312

       3. Kwolek, B., Kępski, M.: Human fall detection on embedded platform using depth maps and wireless accelerometer; Computer Methods and Programs in Biomedicine, Volume 117, Issue 3, December 2014, pp. 489-501, ISSN 0169-2607

Materials of Foreign Conferences:

  1. Kępski, M. & Kwolek, B.: Fall Detection Using Body-worn Accelerometer and Depth Maps Acquired by Active Camera; Int. Conf. on Hybrid Artificial Intelligent Systems HAIS 2016, Lecture Notes in Computer Science, vol. 9648, Springer, Cham, 2016.
  2. Kępski, M. & Kwolek, B. (2015) Embedded system for fall detection using body-worn accelerometer and depth sensor. In: IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IEEE, pp. 755–759.
  3. Kępski, M., Kwolek, B.: Detecting human falls with 3-axis accelerometer and depth sensor; Engineering in Medicine and Biology Society (EMBC), 36th Annual Int. Conf. of the IEEE, pp. 770-773, IEEE, 2014.
  4. Kępski, M., Kwolek, B.: Person Detection and Head Tracking to Detect Falls in Depth Maps; Int. Conf. on Computer Vision and Graphics, Lecture Notes in Computer Science, vol. 8671, Springer International Publishing, 2014.
  5. Kwolek, B., Kępski, M.: Fall Detection Using Kinect Sensor and Fall Energy Image; Int. Conf. on Hybrid Artificial Intelligent Systems HAIS 2013, Lecture Notes in Computer Science, vol. 8073, Springer Berlin Heidelberg, 2013.
  6. Kępski, M., Kwolek, B.: Unobtrusive Fall Detection at Home Using Kinect Sensor; Int. Conf. on Computer Analysis of Images and Patterns CAIP 2013, Lecture Notes in Computer Science, vol. 8047, Springer Berlin Heidelberg, 2013.
  7. Kępski M., Kwolek B.: Human Fall Detection by Mean Shift Combined with Depth Connected Components; Int. Conf. on Computer Vision and Graphics ICCVG, Lecture Notes in Computer Science, vol. 7594, Springer Berlin / Heidelberg, 2012.
  8. Kępski M., Kwolek B.: Fall Detection on Embedded Platform Using Kinect and Wireless Accelerometer; Int. Conf. on Computers Helping People with Special Needs ICCHP, Lecture Notes in Computer Science, vol. 7383, Springer Berlin / Heidelberg, 2012.
  9. Kępski M., Kwolek B., Austvoll I.: Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer; Int. Conf. on Artificial Intelligence and Soft Computing ICAISC, Lecture Notes in Computer Science, vol. 7267, Springer Berlin / Heidelberg, 2012.

nger Berlin / Heidelberg, 2012.

Other Publications:

  1.  Kępski, M., Kwolek, B.: Fall Detection using Ceiling-mounted 3D Depth Camera; Int. Conf. on Computer Vision Theory and Applications VISAPP 2014, Volume 2 pp. 640-647, SciTePress 2014.
  2.  Kępski, M., Kwolek, B.: Human Fall Detection Using Kinect Sensor; Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, Advances in Intelligent Systems and Computing, vol. 226, Springer International Publishing, 2013.


Doctoral Dissertation:

"Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych." Promotor: dr hab. inż. Bogdan Kwolek, prof. n. AGH - Akademia Górniczo-Hutnicza w Krakowie