Abstract
Dynamic modeling and analysis of human lower limb motion is necessary in many fields like medical, robotics and energy supplying of wearable device. As it is complex to model the human lower limb motions, a simplified plant model of human lower limb was established in this paper to explore the properties in walking motion. To present the position relation of each joints in the plant model, kinematic methods such as Denavit-Hartenberg notion and Roberson-Wittenburg algorithm were used. In addition, dynamic methods like Newton Euler, Lagrange equation and Kane equation were also applied to characterize the plant model. Simultaneously, the applicability of these methods was illustrated and compared. Furthermore, an experiment was conducted on a treadmill at a speed of 5 km/h to evaluate the validity of plant model. The Simulink model results were compared with the experiment results, which demonstrated the robustness and accuracy of the plant model.
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References
Rajagopal, A., Dembia, C., Demers, M., Delp, D., Hicks, J., Delp, S.: Full body musculoskeletal model for muscle-driven simulation of human gait. IEEE Trans. Biomed. Eng. 63(10), 2068–2079 (2016)
Arnold, E.M., Ward, S.R., Lieber, R.L., Delp, S.L.: A model of the lower limb for analysis of human movement. Ann. Biomed. Eng. 38(2), 269 (2010)
Wei, W., Cao, J., Nan, Z., Jing, L., Liao, W.H.: Magnetic-spring based energy harvesting from human motions: design, modeling and experiments. Energy Convers. Manag. 132, 189–197 (2017)
Kuo, A.D.: The six determinants of gait and the inverted pendulum analogy: a dynamic walking perspective. Hum. Mov. Sci. 26(4), 617–656 (2007)
Suzuki, Y., Inoue, T., Nomura, T.: A simple algorithm for assimilating marker-based motion capture data during periodic human movement into models of multi-rigid-body systems. Front. Bioeng. Biotechnol. 6 (2018)
Xiang, Y., Arora, J.S., Abdel-Malek, K.: Physics-based modeling and simulation of human walking: a review of optimization-based and other approaches. Struct. Multi. Optim. 42(1), 1–23 (2010)
Albert, A., Gerth, W.: Analytic path planning algorithms for bipedal robots without a trunk. J. Intell. Rob. Syst. 36(2), 109–127 (2003)
Sun, J.: Dynamic modeling of human gait using a model predictive control approach. Dissertations and Theses - Gradworks (2015)
Kim, J.H., Yang, J., Abdel-Malek, K.: A novel formulation for determining joint constraint loads during optimal dynamic motion of redundant manipulators in DH representation. Multibody Sys. Dyn. 19(4), 427–451 (2008)
Qiu, S., Wang, Z., Zhao, H., Hu, H.: Using distributed wearable sensors to measure and evaluate human lower limb motions. IEEE Trans. Instrum. Meas. 65(4), 939–950 (2016)
Roberson, R.E., Schwertassek, R., Huston, R.L.: Dynamics of Multibody Systems (1989)
Hirashima, M., Kudo, K., Ohtsuki, T.: A new non-orthogonal decomposition method to determine effective torques for three-dimensional joint rotation. J. Biomech. 40(4), 871–882 (2007)
Pejhan, S., Farahmand, F., Parnianpour, M.: Design optimization of an above-knee prosthesis based on the kinematics of gait. In: International Conference of the IEEE Engineering in Medicine and Biology Society (2008)
Qiao, M., Yang, C., Yuan, X.: The application of Kane equation in the impact prediction of human motion. In: Duffy, V.G. (ed.) ICDHM 2007. LNCS, vol. 4561, pp. 179–188. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-73321-8_22
Nasir, N.H.M., Ibrahim, B.S.K.K., Huq, M.S., Ahmad, M.K.I.: Modelling of subject specific based segmental dynamics of knee joint. In: Advances in Electrical and Electronic Engineering (2017)
Khalil, W., Kleinfinger, J.F.: A new geometric notation for open and closed-loop robots. In: Institute of Electrical and Electronics Engineers 1986 IEEE International Conference on Robotics and Automation, San Francisco (1986)
Acknowledgment
This work was in part by the National Key R&D Program of China (2018YFB1306100).
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Zhao, H., Cao, J., Wang, R. (2019). Modeling and Analysis of Human Lower Limb in Walking Motion. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11740. Springer, Cham. https://doi.org/10.1007/978-3-030-27526-6_9
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DOI: https://doi.org/10.1007/978-3-030-27526-6_9
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