Simulating balance recovery responses to trips based on biomechanical principles

To realize the full potential of human simulations in interactive environments, we need controllers that have the ability to respond appropriately to unexpected events. In this paper, we create controllers for the trip recovery responses that occur during walking. Two strategies have been identified in human responses to tripping: impact from an obstacle during early swing leads to an elevating strategy, in which the swing leg is lifted over the obstacle and impact during late swing leads to a lowering strategy, in which a swing leg is positioned immediately in front of the obstacle and then the other leg is swung forward and positioned in front of the body to allow recovery from the fall. We design controllers for both strategies based on the available biomechanical literature and data captured from human subjects in the laboratory. We evaluate our controllers by comparing simulated results and actual responses obtained from a motion capture system.

[1]  Frans C. T. van der Helm,et al.  Mechanical model of the recovery from stumbling , 2004, Biological Cybernetics.

[2]  Jehee Lee,et al.  Simulating biped behaviors from human motion data , 2007, SIGGRAPH 2007.

[3]  Zoran Popović,et al.  Contact-aware nonlinear control of dynamic characters , 2009, SIGGRAPH 2009.

[4]  M. V. D. Panne,et al.  SIMBICON: simple biped locomotion control , 2007, SIGGRAPH 2007.

[5]  Jehee Lee,et al.  Simulating biped behaviors from human motion data , 2007, ACM Trans. Graph..

[6]  M. P. Mcguigan,et al.  The role of arm movement in early trip recovery in younger and older adults. , 2008, Gait & posture.

[7]  Zoran Popovic,et al.  Contact-aware nonlinear control of dynamic characters , 2009, ACM Trans. Graph..

[8]  M. Vukobratovic,et al.  Biped Locomotion , 1990 .

[9]  W. Berg,et al.  Circumstances and consequences of falls in independent community-dwelling older adults. , 1997, Age and ageing.

[10]  Jovan Popovic,et al.  Simulation of Human Motion Data using Short‐Horizon Model‐Predictive Control , 2008, Comput. Graph. Forum.

[11]  KangKang Yin,et al.  SIMBICON: simple biped locomotion control , 2007, ACM Trans. Graph..

[12]  D. Winter,et al.  Strategies for recovery from a trip in early and late swing during human walking , 2004, Experimental Brain Research.

[13]  S. Simon Gait Analysis, Normal and Pathological Function. , 1993 .

[14]  Brian Mirtich,et al.  Fast and Accurate Computation of Polyhedral Mass Properties , 1996, J. Graphics, GPU, & Game Tools.

[15]  Jessica K. Hodgins,et al.  Biped gait transitions , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[16]  Taku Komura,et al.  Stepping motion for a human-like character to maintain balance against large perturbations , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[17]  S. Cummings,et al.  Risk factors for injurious falls: a prospective study. , 1991, Journal of gerontology.

[18]  C. Karen Liu,et al.  Animating responsive characters with dynamic constraints in near-unactuated coordinates , 2008, ACM Trans. Graph..

[19]  Taku Komura,et al.  The dynamic postural adjustment with the quadratic programming method , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[20]  Jessica K. Hodgins,et al.  Animation of dynamic legged locomotion , 1991, SIGGRAPH.

[21]  Jessica K. Hodgins,et al.  Motion capture-driven simulations that hit and react , 2002, SCA '02.

[22]  Jessica K. Hodgins,et al.  Capturing and animating skin deformation in human motion , 2006, SIGGRAPH '06.

[23]  C. Karen Liu,et al.  Animating responsive characters with dynamic constraints in near-unactuated coordinates , 2008, SIGGRAPH 2008.

[24]  H J Ralston,et al.  Comparison of electrical activity and duration of tension in the human rectus femoris muscle. , 1976, Electromyography and clinical neurophysiology.

[25]  M. Bobbert,et al.  Contribution of the support limb in control of angular momentum after tripping. , 2004, Journal of biomechanics.

[26]  J. Perry,et al.  Gait Analysis , 2024 .

[27]  Jessica K. Hodgins,et al.  Capturing and animating skin deformation in human motion , 2006, SIGGRAPH 2006.

[28]  Inman Vt,et al.  Comparison of electrical activity and duration of tension in the human rectus femoris muscle. , 1976 .

[29]  Jessica K. Hodgins,et al.  Slipping and Tripping Reflexes for Bipedal Robots , 1997, Auton. Robots.

[30]  Victor B. Zordan,et al.  Momentum control for balance , 2009, ACM Trans. Graph..

[31]  M. Bobbert,et al.  How early reactions in the support limb contribute to balance recovery after tripping. , 2005, Journal of biomechanics.

[32]  F C T van der Helm,et al.  Energy analysis of human stumbling: the limitations of recovery. , 2005, Gait & posture.

[33]  Victor B. Zordan,et al.  Momentum control for balance , 2009, SIGGRAPH 2009.

[34]  T. M. Owings,et al.  Mechanisms leading to a fall from an induced trip in healthy older adults. , 2001, The journals of gerontology. Series A, Biological sciences and medical sciences.

[35]  Petros Faloutsos,et al.  On the beat!: timing and tension for dynamic characters , 2007, SCA '07.

[36]  J. Duysens,et al.  Muscular responses and movement strategies during stumbling over obstacles. , 2000, Journal of neurophysiology.

[37]  L A Fingerhut,et al.  International comparative analysis of injury mortality. Findings from the ICE on injury statistics. International Collaborative Effort on Injury Statistics. , 1998, Advance data.

[38]  David C. Brogan,et al.  Animating human athletics , 1995, SIGGRAPH.

[39]  Miomir Vukobratović,et al.  Biped Locomotion: Dynamics, Stability, Control and Application , 1990 .

[40]  Petros Faloutsos,et al.  Composable controllers for physics-based character animation , 2001, SIGGRAPH.

[41]  Taku Komura,et al.  Animating reactive motions for biped locomotion , 2004, VRST '04.