The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as grasping to extraordinary ones such as virtuoso …

Abstract The exploits of Martina Navratilova and Roger Federer represent the pinnacle of
motor learning. However, when considering the range and complexity of the processes that …

A novel model based on deep learning is proposed to estimate kinematic information for
myoelectric control from multi‐channel electromyogram (EMG) signals. The neural …

In recent years the number of active controllable joints in electrically powered hand-
prostheses has increased significantly. However, the control strategies for these devices in …

Drawing on the disciplines of neurophysiology and physics, Neuromechanics of Human
Movement, Fourth Edition, explores how the nervous system controls the actions of muscles …

A long standing goal in motor control is to determine the fundamental output controlled by
the CNS: does the CNS control the activation of individual motor units, individual muscles …

Little is known about the integration of neural mechanisms for balance and locomotion.
Muscle synergies have been studied independently in standing balance and walking, but …

Previous studies in neurologically intact subjects have shown that motor coordination can be
described by task-dependent combinations of a few muscle synergies, defined here as a …

Optimal control theory and its more recent extension, optimal feedback control theory,
provide valuable insights into the flexible and task-dependent control of movements. Here …

There is much experimental evidence for the existence of biomechanical constraints which
simplify the problem of control of multi‐segment movements. In addition, it has been …