Abstract
In human motion science, the dynamics plays an important role. It relates the movement of the human to the forces necessary to achieve this movement. It also relates the human and its environment through interaction forces. Estimating subject-specific dynamic models is a challenging problem, due to the need for both accurate measurement and modeling formalisms. In the past decade, we have developed solutions for the computation of the dynamic quantities of humans, based on individual (subject specific) models, inspired largely by Robotics geometric and dynamic calibration. In this chapter, we will present the state of the art and our latest advances in this area and show examples of applications to both humans and humanoid robots. With these research results we hope to contribute beyond the field of robotics to the fields of biomechanics and ergonomics, by providing accurate dynamic models of beings.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Siciliano, B., Khatib, O. (eds.): Springer Handbook of Robotics. Springer, Berlin (2016)
Ayusawa, K., Venture, G., Nakamura, Y.: Identifiability and identification of inertial parameters using the underactuated base-link dynamics for legged multibody systems. Int. J. Rob. Res. 33(3), 446–468 (2013). https://doi.org/10.1177/0278364913495932
Venture, G., Ayusawa, K., Nakamura, Y.: Real-time identification and visualization of human segment parameters. Conf. Proc. Int. Conf. IEEE Eng. Med. Biol. Soc. 2009, 3983–3986 (2009). https://doi.org/10.1109/IEMBS.2009.5333620
Ayusawa, K.: Scaling Kinematic Chains in the Air–Identification of Floating Systems Using Dynamics Constraint of the Baselink without Force Measurement, pp. 19–25 (2011)
de Leva, P.: Adjustments to zatsiorsky-seluyanov’s segment inertia parameters. J. Biomech. 29(9), 1223–1230 (1996)
Dumas, R., Cheze, L., Verriest, J.-P.: Adjustments to McConville et al. and Young et al. body segment inertial parameters. J. Biomech. 40(3), 543–553 (2007)
Zatsiorsky, V.: The mass and inertia characteristics of the main segments of the human body. Biomechanics, 1152–1159 (1983)
Andersen, M.S., Benoit, D.L., Damsgaard, M., Ramsey, D.K., Rasmussen, J.: Do kinematic models reduce the effects of soft tissue artefacts in skin marker-based motion analysis? An in vivo study of knee kinematics. J. Biomech. 43, 268–273 (2010)
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, 1–8 (2010)
Zemp, R., List, R., Gülay, T., Elsig, J.P., Naxera, J., Taylor, W.R., Lorenzetti, S.: Soft tissue artefacts of the human back: Comparison of the sagittal curvature of the spine measured using skin markers and an open upright MRI. Plos One 9 (2014)
Hara, R., Sangeux, M., Baker, R., McGinley, J.: Quantification of pelvic soft tissue artifact in multiple static positions. Gait Posture 39, 712–717 (2014)
Bonnet, V., Richard, V., Camomilla, V., Venture, G., Cappozzo, A., Dumas, R.: Multi-body optimisation and extended Kalman filter embedding a kinematic-driven STA model. J. Biomech (2017) (in press)
Futamure, S., Bonnet, V., Dumas, R., Kulic, D., Venture, G.: Dynamically consistent inverse kinematics framework using optimizations for human motion analysis. In: IEEE-RAS International Conference on Humanoid Robot, pp. 436–441 (2016). https://doi.org/10.1109/humanoids.2016.7803312
Kulić, D., Venture, G., Yamane, K., Demircan, E., Mizuuchi, I., Mombaur, K.: Anthropomorphic movement analysis and synthesis: a survey of methods and applications. IEEE Trans. Robo 32 (2016)
Mandery, C., Borrà s, J., Jöchner, M., Asfour, T.: Analyzing whole-body pose transitions in multi-contact motions. In: International Conference on Humanoid Robots, pp. 1020–1027 (2015)
Kolev, S., Todorov, E.: Physically consistent state estimation and system identification for contacts. In: International Conference on Humanoid Robots, pp. 1036–1043 (2015)
Leardini, A., Chiari, L., Croce, U.D., Cappozzo, A.: Human movement analysis using stereophotogrammetry Part 3. Soft tissue artifact assessment and compensation. Gait Posture 21, 212–225 (2005)
Lee, J., Flashner, H., McNitt-Gray, J.L.: Estimation of multibody kinematics using position measurements. J. Comput. Nonlinear Dyn. 6, 1–9 (2011)
Lu, T.-W, O’Connor, J.J.: Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints. J. Biomech. Eng. 32, 129–134 (1999)
Chèze, L., Fregly, B.J., Dimnet, J.: A solidification procedure to facilitate kinematic analyses based on video system data. J. Biomech. 28(7), 879–884 (1995)
Söderkvist, I., Wedin, P.A.: Determining the movements of the skeleton using well-configured markers. J. Biomech. 26(12), 1473–1477 (1993)
Bonnet, V., Daune, G., Joukov, V., Dumas, R., Fraisse, P., Kulić, D., Seilles, A., Andary, S., Venture, G.: A constrained extended Kalman Filter for dynamically consistent inverse kinematics and inertial parameters identification. In: International Conference on Biomedical Robotics and Biomechatronics (2016)
Bonnet, V., Azevedo Coste, C., Robert, T., Fraisse, P., Venture, G.: Optimal external wrench distribution during a multi-contact sit-to-stand task. IEEE Trans. Neural Syst. Rehabil. Eng. 25 (2017). https://doi.org/10.1109/tnsre.2017.2676465
Topper, A.K., Maki, B.E., Holliday, P.J.: Are activity-based assessments of balance and gait in the elderly predictive of risk of falling and/or type of fall ? J. Am. Geriatr. Soc. 41, 479–487 (1993)
Papa, E., Cappozzo, A.: Sit-to-stand motor strategies investigated in able-bodied young and elderly subjects. J. Biomech. 33, 1113–1122 (2000)
Rodosky, M.W., Andriacchi, T.P., Andersson, G.B.J.: The influence of chair height on lower-limb mechanics during rising. J. Orthop. Res. 7, 266–271 (1989)
Cheng, P.T., Liaw, M.Y., Wong, M.K., Tang, F.T., Lee, M.Y., Lin, P.S.: The sit-to-fast deterstand movement in stroke patients and its correlation with falling. Arch. Phys. Med. Rehab. 79, 1043–1046 (1998)
Millor, N., Lecumberri, P., Gomez, M., Martinez-Ramirez, A., Izquierdo, M.: Kinematic parameters to evaluate functional performance of sit-to-stand and stand-to-sit transitions using motion sensor devices: a systematic review. IEEE Trans. Neural. Syst. Rehab. Eng. 22, 926–936 (2014)
Riley, P.O., Schenkman, M.L., Mann, R.W., Hodge, R.A.: Mechanics of a constrained chair rise. J. Biomech. 24, 77–85 (1991)
Scarborough, M.D., Krebs, D.E., Harris, B.A.: Quadriceps muscle strength and dynamic stability in elderly persons. Gait Posture 10, 10–20 (1999)
Bonnet, V., Venture, G.: Fast determination of the planar body segment inertial parameters using affordable sensors. IEEE Trans. Neural Syst. Rehabil. Eng. 23, 628–635 (2015)
Lin, J.F.-S., Bonnet, V., Panchea, A.M., Ramdani, N., Venture, G., Kulic, D.: Human motion segmentation using cost weights recovered from inverse optimal control. In: IEEE-RAS International Conference on Humanoid Robot, pp. 1107–1113. Cancun, Mexico (2016)
Alexander, R.M.: The gaits of bipedal and quadrupedal animals. Int. J. Robot. Res. 3, 49–59 (1984)
Flash, T., Hogan, N.: The coordination of arm movements: an experimentally confirmed mathematical model. J. Neurosci. 5, 1688–1703 (1985)
Mombaur, K., et al.: From human to humanoid locomotion an inverse optimal control approach. Auton Robot 28, 369–383 (2010)
Todorov, E.: Optimality principles in sensorimotor control. Nat. Neurosci. 7, 907–915 (2004)
Bonnet, V., et al.: A least-squares identification algorithm for estimating squat exercise mechanics using a single inertial measurement unit. J. Biomech. 45, 1472–1477 (2012)
Berret, B., et al.: Evidence for composite cost functions in arm movement planning: an inverse optimal control approach. PLoS Comput. Biol. 7, 1–18 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Venture, G., Bonnet, V., Kulic, D. (2019). Creating Personalized Dynamic Models. In: Venture, G., Laumond, JP., Watier, B. (eds) Biomechanics of Anthropomorphic Systems. Springer Tracts in Advanced Robotics, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-93870-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-93870-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93869-1
Online ISBN: 978-3-319-93870-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)