Low melting point metals and alloys are the group of materials that combine metallic and
liquid properties, simultaneously. The fascinating characteristics of liquid metals (LMs) …

Gesture recognition using machine-learning methods is valuable in the development of
advanced cybernetics, robotics and healthcare systems, and typically relies on images or …

Upper limb myoelectric prosthetic control is an essential topic in the field of rehabilitation.
The technique controls prostheses using surface electromyogram (sEMG) and intramuscular …

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

Human–machine interfaces (HMIs) are widely studied to understand the human
biomechanics and/or physiology and the interaction between humans and machines/robots …

The aim of this paper is to propose and evaluate the novel method of template generation,
matching, comparing and visualization applied to motion capture (kinematic) analysis. To …

Exoskeleton as a real-time interaction with the wearer's intelligent robot, in recent years,
becomes a hot topic mouth class research in the field of robotics. Wearable exoskeleton …

According to the rapid spread of multimedia data and online observations by users, the
importance of researching on machine vision also, analyzing and automatic understanding …

Recent advances in image processing and machine learning methods have greatly
enhanced the ability of object classification from images and videos in different applications …

Robots are flexible machines, where the flexibility is achieved, mainly, by the re-
programming of the robotic system. To fully exploit the potential of robotic systems, an easy …