Biomechanical modelling for whole body motion using natural coordinates

The study of spatial human movements requires the development and use of a three-dimensional model. The model proposed here has 44 degrees-of-freedom and it is described using natural coordinates, which do not require an explicit definition of rotation coordinates. The biomechanical model consists of 16 anatomical segments composed of 33 rigid bodies. Joint actuators are introduced into equations of motion of the multibody model by means of kinematic driver constraints in order to reflect the effect of the muscle forces about each anatomical joint. After associating a Lagrange multiplier to each joint actuator, the torques that represent muscle forces become coupled with the biomechanical model through the Jacobian matrix of the underlying multibody system. The developed model is applied to identify net torques and reaction forces at the anatomical joints in application cases that include the take-off to aerial trajectories and standing backwards somersault.

[1]  W S Levine,et al.  An optimal control model for maximum-height human jumping. , 1990, Journal of biomechanics.

[2]  J L McNitt-Gray,et al.  Mechanical demand and multijoint control during landing depend on orientation of the body segments relative to the reaction force. , 2001, Journal of biomechanics.

[3]  J. Ambrósio,et al.  Kinematic Data Consistency in the Inverse Dynamic Analysis of Biomechanical Systems , 2002 .

[4]  M. Bobbert,et al.  Coordination in vertical jumping. , 1988, Journal of biomechanics.

[5]  W. Selbie,et al.  A simulation study of vertical jumping from different starting postures. , 1996, Journal of biomechanics.

[6]  David H. Laananen COMPUTER SIMULATION OF AN AIRCRAFT SEAT AND OCCUPANT(S) IN A CRASH ENVIRONMENT: PROGRAM SOM-LA SOM-TA USER MANUAL , 1991 .

[7]  J Ambrósio,et al.  Spatial reconstruction of human motion by means of a single camera and a biomechanical model. , 2001, Human movement science.

[8]  W. Blajer,et al.  Contact Modeling and Identification of Planar Somersaults on the Trampoline , 2003 .

[9]  Peter Eberhard,et al.  Investigations for the Dynamical Analysis of Human Motion , 1999 .

[10]  M G Pandy,et al.  A parameter optimization approach for the optimal control of large-scale musculoskeletal systems. , 1992, Journal of biomechanical engineering.

[11]  J G Hay,et al.  Citius, altius, longius (faster, higher, longer): the biomechanics of jumping for distance. , 1993, Journal of biomechanics.

[12]  Werner Schiehlen,et al.  Multibody System Dynamics: Roots and Perspectives , 1997 .

[13]  Adrian Lees,et al.  A biomechanical analysis of the last stride, touch‐down and take‐off characteristics of the women's long jump , 1993 .

[14]  J. García de Jalón,et al.  Natural coordinates for the computer analysis of multibody systems , 1986 .

[15]  Javier García de Jalón,et al.  Kinematic and Dynamic Simulation of Multibody Systems: The Real Time Challenge , 1994 .

[16]  Parviz E. Nikravesh,et al.  Computer-aided analysis of mechanical systems , 1988 .

[17]  Miguel T. Silva,et al.  Biomechanical Model with Joint Resistance for Impact Simulation , 1997 .

[18]  Juan Celigueta MULTIBODY SIMULATION OF THE HUMAN BODY MOTION IN SPORTS , 1996 .

[19]  W Blajer,et al.  Modeling and inverse simulation of somersaults on the trampoline. , 2001, Journal of biomechanics.