Myoelectric control is filled with potential to significantly change human–robot interaction
due to the ability to non-invasively measure human motion intent. However, current control …

This paper develops a novel approach to characterise muscle force from electromyography
(EMG) signals, which are the electric activities generated by muscles. Based on the …

Differentiating muscle fatigue induced hand tremor of surgeons into different discernible
levels is important in laparoscopic surgery. Systematic clustering can be used as a method …

We study the performance of brain computer interface (BCI) systems in a virtual reality (VR)
environments and compare it to 2D regular displays. First, we design a headset that consists …

This paper discusses a nonlinear Model Predictive Control (MPC) algorithm for multiple-
input multiple-output dynamic systems represented by cascade Hammerstein–Wiener …

Wiener model, which is one of the structures used in the modeling of nonlinear systems,
consists of the cascade connection as that a dynamic linear system is followed in series by a …

A new approach is introduced to estimate the formal information of neurons. Formal
Information, mainly discusses about the aspects of the response that is related to the …

Surface electromyography (sEMG) signals have been extensively studied in the area of
intention detection, force estimation and control of rehabilitation devices. Studies regarding …

Systems and methods for simultaneous position and imped ance control for myoelectric
interfaces are disclosed herein. Properties such as control refinement, retention, generaliza …

Estimation of a model that relates the surface electromyography (sEMG) to the joint angle is
of major importance to design human robot interfaces, to control biomimetic mechanisms …