A review of human walking modeling and simulation is presented. This review focuses on
physics-based human walking simulations in the robotics and biomechanics literature. The …

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

The rapid introduction of sophisticated computers, services, telecommunications systems,
and manufacturing systems has caused a major shift in the way people use and work with …

A new computational approach may provide improved detection of disease conditions and
comorbidities, such as PTSD, Parkinson's, Alzheimer's, depression, etc. For example, in an …

A real-time method is proposed to obtain a single, consistent probabilistic model to predict
future joint angles, velocities, accelerations and jerks, together with the timing for the initial …

An optimization-based formulation and solution method are presented to predict asymmetric
human gait for a large-scale skeletal model. Predictive dynamics approach is used in which …

In this study, we derive sensitivity equations for the problem of optimization-based motion
prediction of a mechanical system using the inverse recursive Lagrangian formulation. The …

A new methodology, called hybrid predictive dynamics (HPD), is introduced in this work to
simulate human motion. HPD is defined as an optimization-based motion prediction …

An optimization-based methodology of generating dynamic biped motions of a human-like
mechanism is proposed. An efficient formulation of the zero-moment point (ZMP) for dynamic …

A general optimization formulation for transition walking prediction using 3D skeletal model
is presented. The formulation is based on a previously presented one-step walking …