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An Approach for Bone Pose Estimation via Three External Ellipsoid Pressure Points

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Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 4))

Abstract

The accurate reproduction of bone motion during normal gait using noninvasive external sensors is still an open issue: Using skin markers may lead to large artifacts due to skin sliding, while using newer technologies such as fluoroscopy allows only for short exposure in small regions due to radiation limits, and bone pins used in the past are today prohibited due to the risk of inflammations and pain. This paper presents a simple method for noninvasive bone motion estimation based on palpating prominent bone landmarks via tracked pressure foil planes, where three such landmarks suffice for bone pose estimation. Its mathematical formulation corresponds to determining the pose of a rigid body carrying three ellipsoids when the “pressure points”, i.e. the perpendicular feet of the extremal distance points of the ellipsoids on the three pressure foil planes are given. In a previous paper, we showed that the planar case is akin to the 3PPR manipulator, but yielding instead of two solutions up to 64 complex and (up to now found) 48 real solutions. In this paper we treat the 3D case, which is solved numerically, and validate the concept by experimental measurements. It is shown that the method is numerically stable, yielding an accuracy of \(0.8{^{{\circ }}}\) for flexion/extension and \(1.2{^{{\circ }}}\) for abduction/adduction motion of the lower leg.

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References

  1. Tekscan pressure mapping sensor 5027. https://www.tekscan.com/products-solutions/pressure-mapping-sensors/5027. Accessed 10 Jan 2016

  2. The webplatform of ART. http://www.ar-tracking.com/home/. Accessed 10 Jan 2016

  3. Quantification of soft tissue artefact in motion analysis by combining 3d fluoroscopy and stereophotogrammetry: a study on two subjects. Clin. Biomech. 20(3), 320–329 (2005)

    Google Scholar 

  4. Bradski, G.: Dr. Dobb’s Journal of Software Tools (2000)

    Google Scholar 

  5. Bufe, N.: Ein Ansatz zur 3D-Bewegungsbestimmung starrer Körper mit Hilfe von 2D-Druckpunktinformationen auf räumlich getrackten Druckmessfolien. Master’s thesis, University of Duisburg-Essen, Germany (2013)

    Google Scholar 

  6. Bufe, N., Kecskeméthy, A.: Position analysis of a planar rigid-body tracked by three ellipse pressure points along straight lines. In: Proceedings of the 14th World Congress in Mechanism and Machine Science, Taipei, Taiwan (2015)

    Google Scholar 

  7. Cappello, A., Stagni, R., Fantozzi, S., Leardini, A.: Soft tissue artifact compensation in knee kinematics by double anatomical landmark calibration: performance of a novel method during selected motor tasks. IEEE Trans. Biomed. Eng. 52(6), 992–998 (2005)

    Article  Google Scholar 

  8. Cappozzo, A., Catani, F., Leardini, A., Benedetti, M., Croce, U.D.: Position and orientation in space of bones during movement: experimental artefacts. Clin. Biomech. 11(2), 90–100 (1996)

    Article  Google Scholar 

  9. Cappozzo, A., Croce, U.D., Leardini, A., Chiari, L.: Human movement analysis using stereophotogrammetry: part 1: theoretical background. Gait Posture 21(2), 186–196 (2005)

    Google Scholar 

  10. Chen, C., Heyne, W., Jackson, D.: A new 6-dof 3-legged parallel mechanism for force-feedback interface. In: 2010 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications (MESA), pp. 539–544 (2010)

    Google Scholar 

  11. Devernay, F.: C/C++ Minpack. http://devernay.free.fr/hacks/cminpack/ (2007)

  12. Holden, J.P., Orsini, J.A., Siegel, K.L., Kepple, T.M., Gerber, L.H., Stanhope, S.J.: Surface movement errors in shank kinematics and knee kinetics during gait. Gait Posture 5(3), 217–227 (1997)

    Article  Google Scholar 

  13. Kecskeméthy, A.: Non-invasive sensor for the examination of the human or animal locomotor system. http://www.directorypatent.com/EP/2186477-a1.html

  14. Kuo, M.Y., Tsai, T.Y., Lin, C.C., Lu, T.W., Hsu, H.C., Shen, W.C.: Influence of soft tissue artifacts on the calculated kinematics and kinetics of total knee replacements during sit-to-stand. Gait Posture 33(3), 379–384 (2011)

    Article  Google Scholar 

  15. Peters, A., Galna, B., Sangeux, M., Morris, M., Baker, R.: Quantification of soft tissue artifact in lower limb human motion analysis: a systematic review. Gait Posture 31(1), 1–8 (2010)

    Article  Google Scholar 

  16. Ranjbaran, F., Angeles, J., Kecskeméthy, A.: On the kinematic conditioning of robotic manipulators. In: IEEE International Conference on Robotics and Automation, vol. 4, pp. 3167–3172, Minneapolis (1996)

    Google Scholar 

  17. Reinschmidt, C., van den Bogert, A., Nigg, B., Lundberg, A., Murphy, N.: Effect of skin movement on the analysis of skeletal knee joint motion during running. J. Biomech. 30(7), 729–732 (1997)

    Article  Google Scholar 

  18. Sati, M., de Guise, J., Larouche, S., Drouin, G.: Quantitative assessment of skin-bone movement at the knee. Knee 3(3), 121–138 (1996)

    Article  Google Scholar 

  19. Tändl, M., Stark, T., Erol, N., Löer, F., Kecskeméthy, A.: An object-oriented approach for simulation of human gait motion based on motion tracking. Intern. J. Appl. Math. Comput. Sci. (AMCS) 19(3), 469–483 (2009)

    MATH  Google Scholar 

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Acknowledgements

The authors would like to thank Dr. med. A. Lazik-Palm from the University Hospital of Essen who provided us with valuable computer tomography images of the shank.

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Correspondence to Nikolas Bufe .

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Bufe, N., Heinemann, A., Köhler, P., Kecskeméthy, A. (2018). An Approach for Bone Pose Estimation via Three External Ellipsoid Pressure Points. In: Lenarčič, J., Merlet, JP. (eds) Advances in Robot Kinematics 2016. Springer Proceedings in Advanced Robotics, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-56802-7_28

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  • DOI: https://doi.org/10.1007/978-3-319-56802-7_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56801-0

  • Online ISBN: 978-3-319-56802-7

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