The aim of this paper is to present a computational benchmark for gait analysis that has been developed in order to share real data captured in a biomechanics laboratory and the results of the inverse dynamic analysis. This work belongs to the library of computational multibody benchmark problems that the Technical Committee for Multibody Dynamics of the International Federation for the Promotion of Mechanism and Machine Science (IFToMM) is developing. The work presents the kinematic and dynamic study of human motion by means of multibody system dynamics techniques. The subject selected to perform the experiments walks on a walkway that encloses two force plates. The motion is captured by 12 optical cameras that acquire the position of 37 passive markers. The inverse dynamic analysis (IDA) is carried out using a 12-segment 2D model with 14 degrees of freedom. Displacement signals are filtered using an algorithm based on Singular Spectrum Analysis (SSA) and the natural coordinates of the model are calculated using algebraic relations among the marker positions. Afterwards, a procedure ensures the kinematic consistency and the data processing continues with the approximation of the position histories using B-spline curves. The velocity and acceleration values are then obtained by analytical derivation. The double support indeterminacy is solved using the Corrected Force Plate (CFP) sharing method. The IDA provides the joint drive torques that the musculoskeletal system generates during human locomotion from acquired kinematic data, foot-ground contact forces and estimated body segment parameters (BSP). All this information is available online in http://iftomm-multibody.org/benchmark. Therefore, it can be viewed by other researchers, which can submit their own results using the same input data and proposing new solutions.

Peer Reviewed