A key problem for biological motor control is to establish a link between an idea of a
movement and the generation of a set of muscle-stimulating signals that lead to the …

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

In spine research, two possibilities to generate models exist: generic (population-based)
models representing the average human and subject-specific representations of individuals …

Complex interactions between brain regions and the spinal cord (SC) govern body motion,
which is ultimately driven by muscle activation. Motor planning or learning are mainly …

Humans are able to outperform robots in terms of robustness, versatility, and learning of new
tasks in a wide variety of movements. We hypothesize that highly nonlinear muscle …

The purpose of this study is to establish the human-exoskeleton coupling (HEC) dynamic
model of the upper limb exoskeleton, overcome the difficulties of dynamic modeling caused …

Human arm movements are highly stereotypical under a large variety of experimental
conditions. This is striking due to the high redundancy of the human musculoskeletal system …

Based on the principles of neuromechanics, human arm movements result from the dynamic
interaction between the nervous, muscular, and skeletal systems. To develop an effective …

It is hypothesized that the nonlinear muscle characteristic of biomechanical systems simplify
control in the sense that the information the nervous system has to process is reduced …

Existing models of human walking use low-level reflexes or neural oscillators to generate
movement. While appropriate to generate the stable, rhythmic movement patterns of steady …