A simple model of human walking

Authors

  • Leonardo Campanelli All Saints University School of Medicine, Toronto, Canada

DOI:

https://doi.org/10.20883/medical.e817

Keywords:

human locomotion, gait, ted pendulum model, modelling

Abstract

Aim. We investigate Alexander’s inverted pendulum model, the simplest mathematical model of human walking. Although it successfully explains some kinematic features of human walking, such as the velocity of the body's centre of mass, it does not account for others, like the vertical reaction force and the maximum walking speed. This paper aims to minimally extend Alexander’s model in such a way as to make it a viable and quantitative model of human walking for clinical biomechanics.
Material and methods. In order to compare the predictions of Alexander’s model with experimental data on walking, we incorporate in it a robust phenomenological relation between stride frequency and stride length derived in the literature, and we introduce a step-angle dependent muscle force along the pendulum. We then analytically solve the pendulum's motion equation and find the corresponding analytical expression for the average walking speed.
Results. The values of the average walking speed for different heights predicted by our model are in excellent agreement with the ones obtained in treadmill experiments. Moreover, it successfully predicts the observed walking-running transition speed, which occurs when the stride length equals the height of an individual. Finally, our extended model satisfactorily reproduces the experimentally observed ground reaction forces in the midstance and terminal stance phases. Consequently, the predicted value of the (height-dependent) maximum walking speed is in reasonable agreement with the one obtained in more sophisticated models of human walking.
Conclusions. Augmented with our minimal extensions, Alexander’s model becomes an effective and realistic model of human walking applicable in clinical investigations of the human gate.

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References

Nyakatura JA, Melo K, Horvat T, Karakasiliotis K, Allen VR, Andikfar A, Andrada E, Arnold P, Lauströer J, Hutchinson JR, Fischer MS, Ijspeert AJ. Reverse‑engineering the locomotion of a stem amniote. Nature. 2019; 351-355.

Harrison AJ, Molloy PG, Furlong LAM. Does the McNeill Alexander model accurately predict maximum walking speed in novice and experienced race walkers? J Sport Health Sci. 2018; 7: 372-377.

Lu TW, Chang CF. Biomechanics of human movement and its clinical applications. Kaohsiung J Med Sci. 2012; 28: S13-S25.

Racic V, Pavic A, Brownjohn JMW. Experimental identification and analytical modelling of human walking forces: Literature review. J Sound Vib. 2009; 326: 1-49.

Weyand PG, Smith BR, Puyau MR, Butte NF. The mass‑specific energy cost of human walking is set by stature. J Exp Biol. 2010; 213: 3972-3979.

Massaad F, Lejeune TM, Detrembleur C. The up and down bobbing of human walking: a compromise between muscle work and efficiency. J Physiol. 2007; 582(2): 789–799.

Faraji S, Wu AR, Ijspeert AJ. A simple model of mechanical effects to estimate metabolic cost of human walking. Sci Rep. 2018; 8: 10998.

Marshall AE. A Dynamical Model for the Stride in Human Walking. Math Model. 1983; 4: 391-415.

Alexander RMcN. Mechanics and Scaling of Terrestrial Locomotion. In Scale Effects in Animal Locomotion, Pedley TJ, ed., pp. 93-110, Academic Press, London; 1977.

Saunders J, Inman V, Eberhart H. The major determinants in normal and pathological gait. J Bone Jt Surg. 1953; 35A: 543-58.

Geyer H, Seyfarth A, Blickhan R. Compliant leg behaviour explains basic dynamics of walking and running. Proceedings of the Royal Society B: Biological Sciences. 2006; 273(1603): 2861–2867.

Whittington BR, Thelen DG. A simple mass‑spring model with roller feet can induce the ground reactions observed in human walking. J Biomech Eng. (2009); 131(1): 011013.

Lee M, Kim S, Park S. Resonance‑based oscillations could describe human gait mechanics under various loading conditions. J Biomech. 2014; 44(1): 319–322.

Martin AE, Schmiedeler JP. Predicting human walking gaits with a simple planar model. J Biomech. 2014; 47(6): 1416–1421.

Li T, Li Q, Liu T. An actuated dissipative spring‑mass walking model: predicting human‑like ground reaction forces and the effects of model parameters. J Biomech. 2019; 90: 58–64.

Antoniak G, Biswas T, Cortes N, Sikdar S, Chun C, Bhandawat V. Spring‑loaded inverted pendulum goes through two contraction‑extension cycles during the single support phase of walking. Biol Open. 2019; 8(6): bio043695.

Kim S, Park S. Leg stiffness increases with speed to modulate gait frequency and propulsion energy. J Biomech. 2011; 44: 1253-8.

McGrath M, Howard D, Baker R. The strengths and weaknesses of inverted pendulum models of human walking. Gait Posture. 2015; 41(2): 389-94.

Lim H, Park S. Kinematics of lower limbs during walking are emulated by springy walking model with a compliantly connected, off‑centered curvy foot. J Biomech. 2018; 71: 119–126.

Kuo AD. The six determinants of gait and the inverted pendulum analogy: A dynamic walking perspective. Human Movement Science. 2007; 26: 617-56.

Donelan JM, Kram R, Kuo AD. Mechanical work for step‑to‑step transitions is a major determinant of the metabolic cost of human walking. J Exp Biol. 2002; 205: 3717-27.

Kuo AD, Donelan JM, Ruina A. Energetic consequences of walking like an inverted pendulum: step‑to‑step transitions. Exerc Sport Sci Rev. 2005; 33: 88-97.

Koolen T, Boer TD, Rebula J, Goswami A, Pratt J. Capturability‑based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models. Int J Rob Res. 2012; 31: 1094-113.

Hong H, Kim S, Kim C, Lee S, Park S. Spring‑like gait mechanics observed during walking in both young and older adults. J Biomech. 2013; 46: 77-82.

Kuo AD, Stabilization of lateral motion in passive dynamic walking. Int J Robot Res. 1999; 18(9): 917–930.

Roos PE, Dingwell JB. Influence of simulated neuromuscular noise on movement variability and fall risk in a 3D dynamic walking model. J Biomech. 2010: 43(15): 2929–2935.

Englsberger J, Ott C, Albu‑Schäffer A. Three‑dimensional bipedal walking control using divergent component of motion. Proceedings of 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan 2013: 2600–2607.

D. Garcı́a‑Vallejo D, Schiehlen W. 3D‑simulation of human walking by parameter optimization. Arch Appl Mech 2012; 82(4): 533–556.

Yang QS, Qin JW, Law SS. A three‑dimensional human walking model. J Sound Vib. 2015; 357: 437–456.

Liang H, Xie W, Zhang Z, Wei P, Cui C. A Three‑Dimensional Mass‑Spring Walking Model Could Describe The Ground Reaction Forces. Mathematical Problems in Engineering. 2021; 2021: 1-20.

Anderson FC, Pandy MG. Individual muscle contributions to support in normal walking. Gait Posture. 2003; 17: 159-69.

Buczek FL, Cooney KM, Walker MR, Rainbow MJ, Concha MC, Sanders JO. Performance of an inverted pendulum model directly applied to normal human gait. Clin Biomech. 2006; 21: 288-96.

Ellis RG, Sumner BJ, Kram R. Muscle contributions to propulsion and braking during walking and running: Insight from external force perturbations. Gait Posture. 2014; 40: 594-599.

Davidovits P. Physics in Biology and Medicine. 5th ed. London (UK): Academic Press; 2019.

Danion F, Varraine E, Bonnard M, Pailhous J. Stride variability in human gait: the effect of stride frequency and stride length. Gait Posture. 2003; 18: 69-77.

Alexander RMcN. The gaits of bipedal and quadrupedal animals. Int J Robot Res. 1984; 3: 49-59.

Turvey MT, Holt KG, Lafiandra ME, Fonseca ST. Can the Transitions to a from Running and the Metabolic Cost of Running Be Determined from the Kinetic Energy of Running? J Mot Behav. 1999; 31(3): 265-78.

Hanna A, Abernethy B, Neal Robert J, Burgess‑Limerick R. Triggers for the Transitions Between Human Walking and Running. In Energetics of Human Activity. Sparrow W (ed). USA: Human Kinetics; 2000: 124-64.

Raynor AJ, Yi CJ, Abernethy B, Jong QJ. Are transitions in human gait determined by mechanical, kinetic or energetic factors? Hum Mov Sci. 2002; 21(5-6): 785-805.

Prilutsky BI, Gregor RJ. Swing- and support‑related muscle actions differently trigger human walk‑run and run‑walk transitions. J Exp Biol. 2001; 204(13): 2277-87.

Hreljac A, Imamura RT, Escamilla RF, Edward WB. When does a gait transition occur during human locomotion? J Sports Sci Med. 2007; 6: 36-43.

Abramowitz M, Stegun, IA (eds). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover Publications; 1972.

Winter DA. Biomechanics of Human Movement: John Wiley Sons, Inc.; 1979.

Winter DA. The biomechanics and motor control of human gait: Normal, Elderly and Pathological. 2nd ed. Waterloo: Waterloo Biomechanics; 1991.

Patnaik L, Umanand L. Physical constraints, fundamental limits, and optimal locus of operating points for an inverted pendulum based actuated dynamic walker. Bioinspir Biomim. 2015; 10: 064001.

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Published

2023-03-01

Issue

Section

Original Papers

How to Cite

1.
Campanelli L. A simple model of human walking. JMS [Internet]. 2023 Mar. 1 [cited 2024 Nov. 24];92(1):e817. Available from: https://jms.ump.edu.pl/index.php/JMS/article/view/817
Received 2023-02-10
Accepted 2023-03-01
Published 2023-03-01