Support vector machines (SVMs) are widely used classifiers for detecting physiological
patterns in human–computer interaction (HCI). Their success is due to their versatility …

Muscle synergies, ie, invariant coordinated activations of groups of muscles, have been
proposed as building blocks that the central nervous system (CNS) uses to construct the …

Research on reach-to-grasp movements generally concentrates on kinematics values that
are expression of maxima, in particular the maximum aperture of the hand and the peak of …

The quantification of non-linear characteristics of electromyography (EMG) must contain
information allowing to discriminate neuromuscular strategies during dynamic skills. There …

The clinical evaluation of patients in hip osteoarthritis is often done using patient
questionnaires. While this provides important information it is also necessary to continue …

Arm movements in our daily lives have to be adjusted for several factors in response to the
demands of the environment, for example, speed, direction or distance. Previous research …

The aim of this study was to develop the use of Machine Learning techniques as a means of
multivariate analysis in studies of motor control. These studies generate a huge amount of …

In this study, we compared key temporal points in the whole body pointing movement of
healthy aging and young subjects. During this movement, subject leans forward from a …

We examined how motor responses to a stimulus evolve as individuals learn to predict when
a stimulus will appear, by comparing responses to a regular versus irregular stimulus train …

This is a study on associated postural activities during the anticipatory segments of a
multijoint movement. Several previous studies have shown that they are task dependant …