Modeling human motor control and predicting how humans will move in novel environments
is a grand scientific challenge. Researchers in the fields of biomechanics and motor control …

Muscle function during movement is more than a simple, linear transformation of neural
activity into force. The classic work loop technique has pioneered our understanding of …

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 …

Many assistive robotic devices have been developed to augment or assist human
locomotion. Despite advancements in design and control algorithms, this task remains …

Hemiparesis, defined as unilateral muscle weakness, often occurs in people post-stroke or
people with cerebral palsy, however it is difficult to understand how this hemiparesis affects …

Objective: In this study, a novel hybrid predictive musculoskeletal model is proposed which
has both motion prediction and muscular dynamics assessment capabilities. Methods: First …

Biomechanical energy harvesters are designed to generate electrical energy from human
locomotion (eg, walking) with minimal or no additional effort by the users. These harvesters …

Connecting the legs with a spring attached to the shoelaces, called an exotendon, can
reduce the energetic cost of running, but how the exotendon reduces the energetic burden …

The metabolic energy rate of individual muscles is impossible to measure without invasive
procedures. Prior studies have produced models to predict metabolic rates based on …

Objective: Human pose estimation models can measure movement from videos at a large
scale and low cost; however, open-source pose estimation models typically detect only …