The technology supporting the analysis of human motion has advanced dramatically. Past
decades of locomotion research have provided us with significant knowledge about the …

Human gait is the identity of a person's style and quality of life. Reliable cognition of gait
properties over time, continuous monitoring, accuracy of evaluation, and proper analysis of …

Computational modeling and simulation of neuromusculoskeletal (NMS) systems enables
researchers and clinicians to study the complex dynamics underlying human and animal …

This paper examined if an electromyography (EMG) driven musculoskeletal model of the
human knee could be used to predict knee moments, calculated using inverse dynamics …

Body segment inertial parameters (BSIPs) are important data in biomechanics. They are
usually estimated from predictive equations reported in the literature. However, most of the …

BACKGROUND: Obesity has been clinically associated with musculoskeletal disorders.
However, the findings were mainly focused on the analysis in the sagittal plane. The …

This paper presents a three-dimensional (3D) whole body multi-segment model for inverse
dynamics analysis over a complete gait cycle, based only on measured kinematic data. The …

Inverse dynamics based simulations on musculoskeletal models is a commonly used
method for the analysis of human movement. Due to inaccuracies in the kinematic and force …

The purpose of the present study was to examine the influence of anthropometric data on
joint kinetics during gait. We particularly focused on the sensitivity of inverse dynamics …

The Conventional Gait Model (CGM) is a generic name for a family of closely related and
very widely used biomechanical models for gait analysis. After describing its history, the core …