Validation of Predictive Dynamics Tasks

This chapter focuses on the description of procedure used to validate the predictive dynamics tasks. The validation approach, motion capture system, and methodology used to record the data are described. The marker placement protocol used to capture the motion is presented. Normalization of the captured data and the validation methodology are described. The concept of using determinants of the motion, for each task, is introduced and defined, and the validation methodology is demonstrated for the walking and the lifting tasks.

[1]  A Cappello,et al.  Skin movement artefact assessment and compensation in the estimation of knee-joint kinematics. , 1998, Journal of biomechanics.

[2]  Kang Li,et al.  A Relation Between Dynamic Strength and Manual Materials-Handling Strategy Affected by Knowledge of Strength , 2007, Hum. Factors.

[3]  Bruce Abernethy,et al.  Self-Selected Manual Lifting Technique: Functional Consequences of the Interjoint Coordination , 1995, Hum. Factors.

[4]  Susumu Tachi,et al.  A modular neural network architecture for inverse kinematics model learning , 2001, Neurocomputing.

[5]  J. Saunders,et al.  The major determinants in normal and pathological gait. , 1953, The Journal of bone and joint surgery. American volume.

[6]  Joan M. Stevenson,et al.  Comparison of 3D dynamic virtual model to link segment model for estimation of net L4/L5 reaction moments during lifting , 2009 .

[7]  T. Andriacchi,et al.  Increased knee joint loads during walking are present in subjects with knee osteoarthritis. , 2002, Osteoarthritis and cartilage.

[8]  N. Matsunaga,et al.  Kinematic analysis of human lifting movement for biped robot control , 2004, The 8th IEEE International Workshop on Advanced Motion Control, 2004. AMC '04..

[9]  W. Marras,et al.  A Three-Dimensional Motion Model of Loads on the Lumbar Spine: II. Model Validation , 1991, Human factors.

[10]  A R Karduna,et al.  Dynamic measurements of three-dimensional scapular kinematics: a validation study. , 2001, Journal of biomechanical engineering.

[11]  J J O'Connor,et al.  Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints. , 1999, Journal of biomechanics.

[12]  Don B. Chaffin,et al.  On simulating human reach motions for ergonomics analyses , 2002 .

[13]  R Dumas,et al.  Validation of net joint loads calculated by inverse dynamics in case of complex movements: application to balance recovery movements. , 2007, Journal of biomechanics.

[14]  L. Blankevoort,et al.  Validation of a three-dimensional model of the knee. , 1996, Journal of biomechanics.

[15]  Edward R. Valstar,et al.  Soft-tissue artefact assessment during step-up using fluoroscopy and skin-mounted markers. , 2008, Journal of biomechanics.

[16]  Don B. Chaffin,et al.  The evolving role of biomechanics in prevention of overexertion injuries , 2009, Ergonomics.

[17]  John Rasmussen,et al.  Validation of a musculoskeletal model of wheelchair propulsion and its application to minimizing shoulder joint forces. , 2008, Journal of biomechanics.

[18]  Yujiang Xiang,et al.  Enhanced optimisation-based inverse kinematics methodology considering joint discomfort , 2011 .

[19]  G Baroni,et al.  Validation protocol of models for centre of mass estimation. , 1999, Journal of biomechanics.

[20]  Kang Li,et al.  Can Relative Strength Between the Back and Knees Differentiate Lifting Strategy? , 2009, Hum. Factors.

[21]  John J Callaghan,et al.  Kinematics, kinetics, and finite element analysis of commonplace maneuvers at risk for total hip dislocation. , 2003, Journal of biomechanics.