Musculo-tendon forces and joint reaction forces are typically estimated using a two-step
method, computing first the musculo-tendon forces by a static optimization procedure and …

This article develops a novel distributed framework based on physics-informed deep
learning for robust and efficient musculoskeletal modeling in nonstationary scenarios, which …

Due to the complexity and high degrees of freedom, the detailed assessment of human
biomechanics is necessary for the design and optimization of an effective exoskeleton. In …

Muscle coordination may be difficult or impossible to predict accurately based on
biomechanical considerations alone because of redundancy in the musculoskeletal system …

In using musculoskeletal models, researchers can calculate muscle forces, and
subsequently joint contact forces, providing insight into joint loading and the progression of …

Two optimization techniques, static optimization (SO) and computed muscle control (CMC),
are often used in OpenSim to estimate the muscle activations and forces responsible for …

Many individuals with lower limb amputations or neuromuscular impairments face mobility
challenges attributable to suboptimal assistive device design. Forward dynamic modeling …

The investigation of gait strategies at low gravity environments gained momentum recently
as manned missions to the Moon and to Mars are reconsidered. Although reports by …

Multibody musculoskeletal modeling of human gait has been proved helpful in investigating
the pathology of musculoskeletal disorders. However, conventional inverse dynamics …

Over the past decade, computational neuromusculoskeletal (NMS) modeling and simulation
of human movement, including effects of musculoskeletal geometries, multibody dynamics …