Here we provide a perspective concept of neurohybrid memristive chip based on the
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …

Hand gestures are crucial for developing prosthetic and rehabilitation devices, enabling
intuitive human–computer interaction (HCI) and improving accessibility for individuals with …

Recent advances in recording and real-time analysis of surface electromyographic signals
(sEMG) have fostered the use of sEMG human–machine interfaces for controlling personal …

Muscle computer Interface (muCI), one of the widespread human-computer interfaces, has
been widely adopted for the identification of hand gestures by using the electrical activity of …

A neuromuscular interface (NI) that can be employed to operate external robotic devices
(RD), including commercial ones, was proposed. Multichannel electromyographic (EMG) …

The fundamental bases of how our brain solves different tasks of object manipulation remain
largely unknown. Here we consider the problem of the limb movement in dynamic situations …

We present a novel Hand-pose Embedding Interactive System (HpEIS) as a virtual sensor,
which maps users' flexible hand poses to a two-dimensional visual space using a …

This work has been conducted in the context of pattern-recognition-based control for
electromyographic prostheses. It presents a k-nearest neighbour (kNN) classification …

The high dimensionality of modern data introduces significant challenges in descriptive and
exploratory data analysis. These challenges gave rise to extensive work on dimensionality …

Due to the development of robotic rehabilitation technologies and modern electromyography
(EMG) command-proportional control, the issues of muscle activity signal processing remain …