An object-oriented approach to simulating human gait motion based on motion tracking

• Autorzy: Martin Tändl , Tobias Stark , Nihat Ercümet Erol , Franz Löer , Andrés Kecskeméthy
• Języki publikacji: EN

Abstrakty

EN

Accurate bone motion reconstruction from marker tracking is still an open and challenging issue in biomechanics. Presented in this paper is a novel approach to gait motion reconstruction based on kinematical loops and functional skeleton features extracted from segmented Magnetic Resonance Imaging (MRI) data. The method uses an alternative path for concatenating relative motion starting at the feet and closing at the hip joints. From the evaluation of discrepancies between predicted and geometrically identified functional data, such as hip joint centers, a cost function is generated with which the prediction model can be optimized. The method is based on the object-oriented multibody library M ⃢ BILE, which has already been successfully applied to the development of industrial virtual design environments. The approach has been implemented in a general gait visualization environment termed Mobile Body.

Słowa kluczowe

EN

gait/motion analysis; muskuloskeletal system; multibody simulation; MRI; X-ray; motion tracking

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2009
• Tom: 19
• Numer: 3
• Strony: 469-483

Daty

wydano

2009

otrzymano

2008-09-10

poprawiono

2009-02-09

Twórcy

autor

Martin Tändl

• Department of Mechanical and Process Engineering, University of Duisburg-Essen, Lotharstraße 1, 47057 Duisburg, Germany

autor

Tobias Stark

• Department of Mechanical and Process Engineering, University of Duisburg-Essen, Lotharstraße 1, 47057 Duisburg, Germany

autor

Nihat Ercümet Erol

• Department of Orthopaedics, Universitätsklinikum Essen, Hufelandstraße 55, 45147 Essen, Germany

autor

Franz Löer

• Department of Orthopaedics, Universitätsklinikum Essen, Hufelandstraße 55, 45147 Essen, Germany

autor

Andrés Kecskeméthy

• Department of Mechanical and Process Engineering, University of Duisburg-Essen, Lotharstraße 1, 47057 Duisburg, Germany

Bibliografia

• Auer, E. and Luther, W. (2008). Numerical verification assessment in computational biomechanics, Proceedings of the Dagstuhl Seminar 08021: Numerical Validation in Current Hardware Architectures-From Embedded System to High-End Computational Grids, Dagstuhl Castle, Germany, Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, pp.145-160.
• Barbour, N. and Schmidt, G. (2001). Inertial sensor technology trends, IEEE Sensors Journal 1(4):332-339.
• Cerveri, P., Pedotti, A. and Ferrigno, G. (2005). Kinematical models to reduce the effect of skin artifacts on markerbased human motion estimation, Journal of Biomechanics 38(11): 2228-2236.
• Cuypers, R. (2008). Functional bone reconstruction and manipulation in computer-aided surgery using superquadrics, Proceedings of the 10th International Symposium Biomaterials: Fundamentals and Clinical Applications, Essen, Germany.
• Cuypers, R., Tang, Z., Luther, W. and Pauli, J. (2008). A parametrized model for efficient and accurate femur reconstruction using model-based segmentation and superquadric shapes, Proceedings of the 4th International Conference on Telehealth and Assistive Technologies, Baltimore, MD, USA, (accepted)
• Davis, R. I., Õunpuu, S., Tyburski, D. and Gage, J. (1991). A gait analysis data collection and reduction technique, Human Motion Science 10(5): 575-587.
• Della Croce, U., Leardini, A., Chiari, L. and Cappozzo, A. (2005). Human movement analysis using stereophotogrammetry. Part 4: Assessment of anatomical landmark misplacement and its effects on joint kinematics, Gait & Posture 21(2):212-225.
• Delp, S. and Loan, J. (2000). A computational framework for simulating and analyzing human and animal movement, IEEE Computing in Science and Engineering 2(5):46-55.
• Ehrig, R. M., Taylor, W. R., Duda, G. N. and Heller, M. O. (2006). A survey of formal methods for determining the centre of rotation of ball joints, Journal of Biomechanics 39(15): 2798-2809.
• Hill, A. V. (1938). The heat of shortening and the dynamic constants of muscle, Proceedings of the Royal Society London 126:136-195.
• Kecskeméthy, A. and Hiller, M. (1994a). An object-oriented approach for an effective formulation of multibody dynamics, Computer Methods in Applied Mechanics and Engineering 115(3-4): 287-314.
• Kecskeméthy, A. and Hiller, M. (1994b). Object-oriented programming techniques in vehicle dynamics simulation, Proceeding of the IMACS Symposium on Mathematical Modelling, Vienna, Austria, Vol. 4, pp. 673-678.
• Kecskeméthy, A., Lange, C. and Grabner, G. (2000). A geometric model for cylinder-cylinder impact with application to vertebrae motion simulation, in J. Lenarˇciˇc and M. M. Stanišić (Eds.), 7th International Symposium on Advances in Robot Kinematics, Piran-Portoroz, Slovenia, Kluwer Academic Publishers, Dordrecht/Boston/London, pp. 345-354.
• Kecskeméthy, A., Stolz, M., Strobach, D., Saraph, V., Steinwender, G. and Zwick, B. (2003). Improvements in measurebased simulation of the human lower extremity, Proceedings of the IASTED Conference on Biomechanics, Rhodes, Greece, pp. 155-160.
• Kecskeméthy, A. and Weinberg, A. (2003). An improved elastokinematic model of the human forearm for biofidelic medical diagnosis, CD Proceedings of the International ECCOMAS Thematic Conference on Advances in Computational Multibody Dynamics, Lisbon, Portugal.
• Liu, X., Kecskeméthy, A. and Tändl, M. (2008). A selfstabilized foot-ground contact model using two segments and cylinder-plane pairs, i-FAB Congress, Bologna, Italy.
• Maestri, G. (1995). Capturing motion, Computer Graphics World 18(12): 47-51.
• Oxford Metrics, L. (2004). Vicon Clinical Manager's User Manual, Oxford Metrics Ltd.
• Parenti-Castelli, V., Leardini, A., Di Gregorio, R. and O'Connor, J. (2004). On the modeling of passive motion of the human knee joint by means of equivalent planar and spatial parallel mechanisms, Autonomous Robots 16(2): 219-232.
• Peters, A., Sangeux, M., Morris, M. and Baker, R. (2009). Determination of the optimal locations of surface-mounted markers on the tibial segment, Gait & Posture 29(1): 42-48.
• Piazza, S. J. and Cavanagh, P. R. (2000). Measurement of the screw-home motion of the knee is sensitive to errors in axis alignment, Journal of Biomechanics 33(8): 1029-1034.
• Stroustrup, B. (1991). The C++ Programming Language, Second Edition, Addison-Wesley Series in Computer Science, Addison-Wesley Publishing Company, Reading, MA.
• Tändl, M., Stark, T., Erol, N., Löer, F. and Kecskeméthy, A. (2008). An integrated simulation environment for human gait analysis and evaluation, Proceedings of the 10th International Symposium on Biomaterials: Fundamentals and Clinical Applications, Essen, Germany.
• Tang, Z., Pauli, P. D. J. and Kecskeméthy, P. D. A. (2008). Automatic identification of functional kinematic bone features from mrt segmentation for gait analysis, Proceedings of the 10th International Symposium on Biomaterials: Fundamentals and Clinical Applications, Essen, Germany, (submitted).
• Vicon Motion Systems Limited (2007). Plug-in-Gait Marker Placement-Documentation, Available at: http://www3.uta.edu/faculty/ricard/Grad%20Biomech/Vicon%20Manuals/.
• Winter, D. (1990). Biomechanics and Motor Control of Human Movement, 2nd Edn., John Wiley & Sons Inc., New York, NY.
• Wirfs-Brock, R. and Wilkerson, B. (1989). Object-oriented design: A responsibility-driven approach, Proceedings of the Conference on Object-Oriented Programming Systems, Languages and Applications. New Orleans, LA, USA, pp. 71-75.
• Zordan, V. B. and Van Der Horst, N. C. (2003). Mapping optical motion capture data to skeletal motion using a physical model, Proceedings of the Eurographics/SIGGRAPH Symposium on Computer Animation, San Diego, CA, USA, pp. 245-250.

Identyfikatory

DOI

10.2478/v10006-009-0038-y