Have a personal or library account? Click to login
Examination of the Effect of Psychophysical Factors on the Quality of Human Gait Recognition Cover

Examination of the Effect of Psychophysical Factors on the Quality of Human Gait Recognition

By: Marcin Derlatka  
Open Access
|Jan 2015

References

  1. 1. Balista J. A. F., Soriano M. N., Saloma C.A (2010), Compact timeindependent pattern representation of entire human gait cycle for tracking of gait irregularities, Pattern Recognition Letters, 31, 20-27.10.1016/j.patrec.2009.09.001
  2. 2. Derlatka M. (2012), Human gait recognition based on signals from two force plates, ICAISC'2012 - LNCS:LNAI, 7268, 251-258.10.1007/978-3-642-29350-4_30
  3. 3. Derlatka M. (2013), Modyfied kNN algorithm for improved recognition accuracy of biometrics system based on gait, CISIM’2013 - LNCS, 8104, 59-66.10.1007/978-3-642-40925-7_6
  4. 4. Derlatka M., Ihnatouski M. (2010), Decision tree approach to rules extraction for human gait analysis, ICAISC’2010 - LNCS:LNAI, 597-604.10.1007/978-3-642-13208-7_74
  5. 5. Gafurov D., Bours P., Snekkenes E. (2011) User authentication based on foot motion, Signal, Image and Video Processing, 5, 457-467.10.1007/s11760-011-0249-1
  6. 6. Goldy F. R, Mary R. P. (2012), Genetic Algorithm for self occlusion gait recognition, International Journal of Advanced Research in Computer and Communictation Engineering, 1, 10, 865-869.
  7. 7. Idźkowski A., Walendziuk W. (2009), Evaluation of the static posturograph platform accuracy, Journal of Vibroengineering, 11, 3, 511-516.
  8. 8. Jenkins J., Ellis C. (2007), Using ground reaction forces from gait analysis: body mass as a weak biometrics, LNCS, 4480, 251-267.10.1007/978-3-540-72037-9_15
  9. 9. Katiyar R., Pathak V. K., Arya K. V. (2013), A study on existing gait biometrics approaches and challenges, International Journal of Computer Science, 10(1), 135-144.
  10. 10. Klempous R. (2012), The different possibilities for gait identification based on motion capture, EUROCAST, LNCS, 6928, 187-194.10.1007/978-3-642-27579-1_24
  11. 11. Kumar A., Ramakrishnan M. (2011), Legacy of footprints recognition - a review, International Journal of Computer Applications, 35(11), 9-16.
  12. 12. Lin Y. C, Lin Y. T. (2013), Human recognition based on plantar pressure patterns during gait, J. of Mechanics in Medicine and Biology, 13(2).10.1142/S0219519413500395
  13. 13. Lin Y. C, Yang B. S, Lin Y. T, Yang Y. T. (2011) Human recognition based on kinematics and kinetics of gait, Journal of Medical and Biological Engineering, , 31(4), 255-263.
  14. 14. Moustakidis S. P, Theocharis J. B., Giakas G. (2009), Feature extraction based on a fuzzy complementary criterion for gait recognition using GRF signals, 17th Mediterranean Conference on Control & Automation, Greece, IEEE, 1456-1461.10.1109/MED.2009.5164752
  15. 15. Nakajima K., Mizukami Y., Tanaka K., Tamura T. (2000), Footprintbased personal recognition, IEEE Transactions on Biomedical Engineering, 47(11),1534-1537.10.1109/10.88010611077748
  16. 16. Pataky T. C, Mu T., Bosch K., Rosenbaum D., Goulermas J. Y. (2012), Gait recognition: highly unique dynamic plantar pressure patterns among 104 individuals, J. R. Soc. Interface, 9(69), 790-800.10.1098/rsif.2011.0430328413521900318
  17. 17. Porwik P., Zygula J., Doroz R, Proksa R. (2010), Biometric recognition system based on the motion of the human body gravity centre analysis, Journal of Medical Informatics and Technologies, 15, 61-69.
  18. 18. Rodriguez V. R., Manson J., Evans N. (2009), Assessment of a footstep biometric verification System Handbook of Remote Biometrics, eds. Tistarelli et al. Advances in Pattern Recognition, London, 313-327.10.1007/978-1-84882-385-3_13
  19. 19. Switonski A., Polanski A., Wojciechowski K.. (2011), Human identification based on gait paths, ACIVS LNCS, 6915, 531-542.10.1007/978-3-642-23687-7_48
  20. 20. Wu J., Wang J., Liu L. (2007), Feature extraction via KPCA for classification of gait patterns, Human Movement Science, 26, 393 - 411.10.1016/j.humov.2007.01.01517509708
  21. 21. Xu X., Tang J., Zhang X., Liu X., ZXhang H., Qiu Y. (2013), Exploring techniques for vision based human activity recognition: methods, systems and evaluation, Sensors, 13, 1635-1650.10.3390/s130201635364941323353144
  22. 22. Yao Z. M., Zhou X., Lin E. D, Xu S., Sun Y. N. (2010), A novel biometric recognition system based on ground reaction force measurements of continuous gait. Human System Interactions, 3rd Conf. on Digital Object Identifier, Rzeszow Poland, 452-458.
  23. 23. Yu S., Tan T., Huang K., Jia K., Wu X., (2009), A study on gaitbased gender classification, IEEE Transactions on Image Processing, 18, 8, 1905-1910.10.1109/TIP.2009.202053519447706
  24. 24. Yun J. (2011), User Identification using gait patterns on UbiFloorII, Sensors, 11, 2611-2639. .10.3390/s110302611323159622163758
DOI: https://doi.org/10.2478/ama-2014-0035 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 194 - 198
Published on: Jan 27, 2015
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Marcin Derlatka, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.