Background Electromyography (EMG) is a classical technique used to record electrical
activity associated with muscle contraction and is widely applied in Biomechanics …

This paper presents a critical review and comparison of the results of recently published
studies in the fields of human–machine interface and the use of sonomyography (SMG) for …

This article presents an assist-as-needed (AAN) control framework for exoskeleton
assistance based on human volitional effort prediction via a Hill-type neuromuscular model …

Coupling myoelectric and mechanical signals during voluntary muscle contraction is
paramount in human–machine interactions. Spatiotemporal differences in the two signals …

Synergistic models have been employed to investigate motor coordination separately in the
muscular and kinematic domains. However, the relationship between muscle synergies …

The recent development of human–machine interface (HMI) involves advances in wearable
devices that safely interact with the human body while providing high mechanical …

The fast-growing techniques of measuring and fusing multi-modal biomedical signals
enable advanced motor intent decoding schemes of lower-limb exoskeletons, meeting the …

Generative models of decision now permeate all subfields of psychology, cognitive, and
clinical neuroscience. To successfully investigate decision mechanisms from behavior, it is …

For decades, surface electromyography (sEMG) has been a popular non-invasive bio-
sensing technology for predicting human joint motion. However, cross-talk, interference from …

Objective. The study of human neuromechanical control at the motor unit (MU) level has
predominantly focussed on electrical activity and force generation, whilst the link between …