Balance Recovery Prediction with Multiple Strategies for Standing Humans

Human balance recovery from external disturbances is a complex process, and simulating it remains an open challenge. In particular, there still is a need for a comprehensive numerical tool capable of predicting the outcome of a balance perturbation, including in particular the three elementary recovery strategies: ankle, hip and stepping with variable step duration. In order to fill this gap we further developed a previously proposed multiple step balance recovery prediction tool to include the use of the hip strategy and variable step duration. Simulated recovery reactions are compared against observations from different experimental situations from the literature. Reasonable accuracy in terms of step positions and durations were obtained for these different situations using a single set of controller parameters. Moreover, variations in the use of the hip strategy and the step duration between situations were consistent with biomechanical observations. Such a model could be useful to better understand the balance recovery mechanisms, and could also be used to identify potentially hazardous situations.

[1]  Andrei Herdt,et al.  Online Walking Motion Generation with Automatic Footstep Placement , 2010, Adv. Robotics.

[2]  Jeffrey M Schiffman,et al.  Effects of step length on stepping responses used to arrest a forward fall. , 2005, Gait & posture.

[3]  Pierre-Brice Wieber,et al.  Model predictive control of biped walking with bounded uncertainties , 2017, 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids).

[4]  F E Zajac,et al.  Ankle and hip postural strategies defined by joint torques. , 1999, Gait & posture.

[5]  A L Hof,et al.  The condition for dynamic stability. , 2005, Journal of biomechanics.

[6]  Benjamin J. Stephens Integral control of humanoid balance , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Zohaib Aftab,et al.  Simulation dynamique de perte d'équilibre : Application aux passagers debout de transport en commun , 2012 .

[8]  Herman van der Kooij,et al.  A multisensory integration model of human stance control , 1999, Biological Cybernetics.

[9]  Eric Kubica,et al.  Introduction of the Foot Placement Estimator: A Dynamic Measure of Balance for Bipedal Robotics , 2008 .

[10]  A.D. Kuo,et al.  An optimal control model for analyzing human postural balance , 1995, IEEE Transactions on Biomedical Engineering.

[11]  Thomas Robert,et al.  Influence of the strategies and biomechanical parameters on the capacity to handle balance perturbation: a numerical assessment , 2015, Computer methods in biomechanics and biomedical engineering.

[12]  Thomas Robert,et al.  Predicting multiple step placements for human balance recovery tasks. , 2012, Journal of biomechanics.

[13]  C. Becker,et al.  Cost of falls in old age: a systematic review , 2010, Osteoporosis International.

[14]  Cécile Smeesters,et al.  Kinematics of the threshold of balance recovery are not affected by instructions limiting the number of steps in younger adults. , 2009, Gait & posture.

[15]  Pierre-Brice Wieber,et al.  Ankle, hip and stepping strategies for humanoid balance recovery with a single Model Predictive Control scheme , 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

[16]  Christopher G. Atkeson,et al.  Multiple balance strategies from one optimization criterion , 2007, 2007 7th IEEE-RAS International Conference on Humanoid Robots.

[17]  Sergey V. Drakunov,et al.  Capture Point: A Step toward Humanoid Push Recovery , 2006, 2006 6th IEEE-RAS International Conference on Humanoid Robots.

[18]  Twan Koolen,et al.  Capturability-based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models , 2011, Int. J. Robotics Res..

[19]  R. Fitzpatrick,et al.  Thresholds for inducing protective stepping responses to external perturbations of human standing. , 2003, Journal of neurophysiology.

[20]  R. Peterka Sensorimotor integration in human postural control. , 2002, Journal of neurophysiology.

[21]  Y. Pai,et al.  Center of mass velocity-position predictions for balance control. , 1997, Journal of biomechanics.

[22]  F. Horak,et al.  Postural feedback responses scale with biomechanical constraints in human standing , 2004, Experimental Brain Research.

[23]  M C Do,et al.  A biomechanical study of balance recovery during the fall forward. , 1982, Journal of biomechanics.

[24]  F. Horak,et al.  Central programming of postural movements: adaptation to altered support-surface configurations. , 1986, Journal of neurophysiology.

[25]  Bernd De Graaf,et al.  The Retention of Blance: An Exploratory Study into the Limits of Acceleration the Human Body Can Withstand without Losing Equilibrium , 1997, Hum. Factors.

[26]  Y. Pai,et al.  Minimal step length necessary for recovery of forward balance loss with a single step. , 2007, Journal of biomechanics.

[27]  R. Tisserand,et al.  Un modèle de prédiction de la performance de rattrapage de l’équilibre perturbé pour la personne âgée , 2014, Neurophysiologie Clinique/Clinical Neurophysiology.

[28]  B E Maki,et al.  Age-related changes in compensatory stepping in response to unpredictable perturbations. , 1996, The journals of gerontology. Series A, Biological sciences and medical sciences.

[29]  Laura A. Wojcik,et al.  Age differences in using a rapid step to regain balance during a forward fall. , 1997, The journals of gerontology. Series A, Biological sciences and medical sciences.

[30]  Philippe Gorce,et al.  Dynamic control of bipeds using ankle and hip strategies , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[31]  T. M. Owings,et al.  Mechanisms of failed recovery following postural perturbations on a motorized treadmill mimic those associated with an actual forward trip. , 2001, Clinical biomechanics.

[32]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[33]  A. Kuo,et al.  Energetic cost of producing cyclic muscle force, rather than work, to swing the human leg , 2007, Journal of Experimental Biology.

[34]  S. Robinovitch,et al.  The effect of step length on young and elderly women's ability to recover balance. , 2007, Clinical biomechanics.

[35]  B. E. Maki,et al.  The role of limb movements in maintaining upright stance: the "change-in-support" strategy. , 1997, Physical therapy.

[36]  P. Morasso,et al.  Body sway during quiet standing: is it the residual chattering of an intermittent stabilization process? , 2005, Human movement science.

[37]  B de Graaf,et al.  The retention of balance: an exploratory study into the limits of acceleration the human body can withstand without losing equilibrium. , 1997, Human factors.

[38]  H. Ralston,et al.  Optimization of energy expenditure during level walking , 2004, European Journal of Applied Physiology and Occupational Physiology.

[39]  E Zaloshnja,et al.  Incidence and lifetime costs of injuries in the United States , 2006, Injury Prevention.

[40]  D. Anton Occupational biomechanics , 1986 .