This paper aims to develop a knowledge base and identify the promising research pathways
toward designing lower limb prostheses for optimal biomechanical and clinical outcomes. It …

Movement is fundamental to human and animal life, emerging through interaction of
complex neural, muscular, and skeletal systems. Study of movement draws from and …

Human gait analysis is a complex problem in biomechanics because of highly nonlinear
human motion equations, muscle dynamics, and foot-ground contact. Despite a large …

Musculoskeletal simulations are used in many different applications, ranging from the
design of wearable robots that interact with humans to the analysis of patients with impaired …

Algorithmic differentiation (AD) is an alternative to finite differences (FD) for evaluating
function derivatives. The primary aim of this study was to demonstrate the computational …

Over the past decade, there has been a rapid increase in applications of multibody system
dynamics to the predictive simulation of human movement. Using predictive “what-if” human …

The ultimate goal of most neuromusculoskeletal modeling research is to improve the
treatment of movement impairments. However, even though neuromusculoskeletal models …

Predictive simulation based on dynamic optimization using musculoskeletal models is a
powerful approach for studying human gait. Predictive musculoskeletal simulation may be …

Forward biomechanical simulation in HCI holds great promise as a tool for evaluation,
design, and engineering of user interfaces. Although reinforcement learning (RL) has been …

Trajectory optimization with musculoskeletal models can be used to reconstruct measured
movements and to predict changes in movements in response to environmental changes. It …