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Biometric Motion Identification Based on Motion Capture

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 243))

Abstract

Motion tracking, motion capture (or Mocap) is a computer technique of digitally recording movements for sport, entertainment, security, military and medical applications. Biometrics (Greek: bios =“life”, metron =“measure”) is the field of study that involves methods of unique recognition of humans based on one or many intrinsic physical or/and behavioral characteristics. In ICT, biometric authentication refers to technologies that analyze and measure human physical and behavioral features for the purpose of authentication. Identification of a person involves extracting of biometric info from a person and then comparing this info with samples stored in database. Identification is more far more complex than verification as the biometric information has to be compared with all other entries in the database in order to provide a definite answer.

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References

  1. Barr, A., Currin, B., Gabriel, S., Houghes, J.: Smooth Interpolation of Orientations with Angular Velocity Constraints. Computer Graphics 26 (1992)

    Google Scholar 

  2. Bodenheimer, B., Rose, C., Rosenthal, S., Pella, J.: The Process of Motion Capture: Dealing with the Data (1997)

    Google Scholar 

  3. Bruderlin, A., Williams, L.: Motion Signal Processing. Computer Graphics 29, 97–104 (1995)

    Google Scholar 

  4. Keogh, E., Ratanamahatana, C.A.: Exact Indexing of Dynamic Time Warping, University of California–Riverside, USA China (2002)

    Google Scholar 

  5. Chaczko, Z., Sinha, S.: Strategies of Teaching Software Analysis and Design Interactive Digital Television Games. In: ITHET 2006, Sydney, Australia (July 2006)

    Google Scholar 

  6. Cunado, D., et al.: Automatic Extraction and Description of Human Gait Models for Recognition Purposes. Computer Vision and Image Understanding, 90(1) (2003)

    Google Scholar 

  7. Cunado, D., Nixon, M.S., Carter, J.N.: Using Gait as a Biometric, via Phase-Weighted Magnitude Spectra. In: Proc. of 1st Int. Conf. on Audioand Video-based Biometric Person Authentication (2003)

    Google Scholar 

  8. Eberly, D.: Quaternion Algebra and Calculus. Magic Software (2002), http://www.magicsoftware.com/Documentation/Quaternions.pdf

  9. Itakura, F.: Minimum Prediction Residual Principle Applied to Speech Recognition. IEEE Trans on Acoustics Speech and Signal Processing AS23.1, 67–72 (1975)

    Article  Google Scholar 

  10. Jablonski, B.: Porownywanie generatorow ruchu animowanych postaci ludzkich. In: Klempous, R. (ed.) Diversitas Cybernetica, Warsaw (2005)

    Google Scholar 

  11. Jablonski, B., Klempous, R., Kulbacki, M.: PDE-based Filltering of Motion Sequences. Journal of Comp. and Applied Mathematics 189(1/2), 660–675 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  12. Jablonski, B., Klempous, R., Majchrzak, D.: Models and Methods for Biometric Motion Identification. Annales UMCS, vol. 4, Lublin (2006)

    Google Scholar 

  13. Jablonski, B., Klempous, R., Majchrzak, D.: Feasibility Analysis of Human Motion Identification Using Motion Capture. In: Proc. of the Int. Conference on Modelling, Identification and Control. Acta Press (2006)

    Google Scholar 

  14. Jablonski, B., Kulbacki, M., Klempous, R., Segen, J.: Methods for Comparison of Animated Motion Generators. In: Proc. of IEEE International Conference on Computational Cybernetics, Hungary, (2003)

    Google Scholar 

  15. Jablonski, B.: Anisotropic Filtering of Multidimensional Rotational Trajectories as a Generalization of 2D Diffusion. In: Multidimensional Systems and Signal Processing. Springer, Netherlands (2008)

    Google Scholar 

  16. Jablonski, B., Kulbacki, M., Klempous, R., Segen, J.: Methods for Comparison of Animated Motion Generators. In: Proc. ICCC 2003, Siófok, Hungary (2003)

    Google Scholar 

  17. Kuan, E.L.: Investigating Gait as a Biometric, Technical Report, Departament of Electronics and Computer Science, University of Sothampton (1995)

    Google Scholar 

  18. Kulbacki, M., Bak, A., Segen, J.: Unsupervised Learning Motion Models Using Dynamic Time Warping. In: Intelligent Information Systems 2002, Sopot, Poland, June 3-6, pp. 217–226 (2002)

    Google Scholar 

  19. Kulbacki, M., Jablonski, B., Klempous, R., Segen: Learning from Examples and Comparing Models of Human Motion. Journal of Advanced Computational Intelligence and Intelligent Informatics 8(5), 477–481 (2004)

    Google Scholar 

  20. Lee, J., Shin, S.Y.: Multiresolution Motion Analysis with Applications. In: International Workshop and Human Modeling and Animation, Seoul, pp. 131–143 (2000)

    Google Scholar 

  21. LifeForms, Credo Interactive Inc., http://www.credo-interactive.com/

  22. Maillot, P.: Using Quaternions for Coding 3D Transformations. In: Graphics Gems I., pp. 498–515. Academic Press Inc., Boston (1990)

    Google Scholar 

  23. Majchrzak, D.: Identy_kacja ruchu postaci. Analiza mo_zliwo_sci, metody, algorytmy", M.Sc.Eng., Thesis (in Polish) Wroclaw University of Technology, Faculty of Electronics (2000)

    Google Scholar 

  24. Myers, C.S., Rabiner, L.R.: A Comparative Study of Several Dynamic Time-Warping Algorithms for Connected Word Recognition. The Bell System Technical Journal 60(7), 1389–1409 (1981)

    Google Scholar 

  25. Mowbray, S.D., Nixon, M.S.: Automatic Gait Recognition via Fourier Descriptors of De-formable Objects. In: Proc. of Audio Visual BiometricPerson Authentication (2003)

    Google Scholar 

  26. Murray, M.P.: Gait as a Total Pattern of Movement. Amer. J. Phys. Med. 46(1) (1967)

    Google Scholar 

  27. Murray, M.P., Drought, A.B., Kory, R.C.: Walking Patterns of Normal Men. J. Bone Joint Surg. 46-A (2), 335–360 (1996)

    Google Scholar 

  28. Rabiner, L.R., Juang, B.: Fundamentals of Speech Recognition. Prentice-Hall, Englewood Cliffs (1993)

    Google Scholar 

  29. Yam, C.Y.: Automated Person Recognition by Walking and Running via Model-based Approaches. In: Pattern Recognition, vol. 37(5). Elsevier Science, Amsterdam (2003)

    Google Scholar 

  30. Yam, C.Y., Nixon, M.S., Carter, J.N.: Extended Model-based Automatic Gait Recognition of Walking and Running. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 278–283. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  31. Grzegorek, T.: Motion Capture based identification methods using Life Forms database, Wroclaw University of Technology, Faculty of Electronics (2008)

    Google Scholar 

  32. http://www.darwin3d.com/gamedev/articles/col0198.pdf

  33. http://www.claremontvc.com/images/focus1.pdf

  34. http://www.biom.cornell.edu/

  35. http://www.markschulze.net/java/hough/

  36. http://www.books.google.pl/books?isbn=3527406239

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Klempous, R. (2009). Biometric Motion Identification Based on Motion Capture. In: Rudas, I.J., Fodor, J., Kacprzyk, J. (eds) Towards Intelligent Engineering and Information Technology. Studies in Computational Intelligence, vol 243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03737-5_24

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  • DOI: https://doi.org/10.1007/978-3-642-03737-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03736-8

  • Online ISBN: 978-3-642-03737-5

  • eBook Packages: EngineeringEngineering (R0)

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