Deep Learning (DL) has been recently employed to build smart systems that perform
incredibly well in a wide range of tasks, such as image recognition, machine translation, and …

Muscle synergies have been largely used in many application fields, including motor control
studies, prosthesis control, movement classification, rehabilitation, and clinical studies. Due …

The development of a functional myoelectric control represents a big challenge within the
researchers community, due to the complexity of mapping the user's movement intention …

The growing interest in wearable robots opens the challenge for developing intuitive and
natural control strategies. Among several human–machine interaction approaches …

In myo-control, for computational and setup constraints, the measurement of a high number
of muscles is not always possible: the choice of the muscle set to use in a myo-control …

The current knowledge about muscle synergies does not clearly explain how both
rehabilitation and brain plasticity act on the way they evolve after a cortical stroke. In this …