Objective. Biosignal control is an interaction modality that allows users to interact with
electronic devices by decoding the biological signals emanating from the movements or …

Despite the advances in the field of brain computer interfaces (BCI), the use of the sole
electroencephalography (EEG) signal to control walking rehabilitation devices is currently …

Abstract Background Brain-computer interfaces (BCIs) are systems capable of translating
human brain patterns, measured through electroencephalography (EEG), into commands for …

The growing interest in neurorobotics has led to a proliferation of heterogeneous
neurophysiological-based applications controlling a variety of robotic devices. Although …

In this article, we present a control architecture for a robotic manipulator finally aimed at
helping people with severe motion disabilities in performing daily life operations, such as …

Recent advances in the Brain-Machine Interface (BMI) and in the robotic fields allowed
researchers to design a new generation of brain-actuated neuroprostheses to control a …

The increasing interest of the research community in the intertwined fields of brain-machine
interface (BMI) and robotics has led to the development of a variety of brain-actuated …

In this paper, we propose a ROS-based system to reconstruct the motion of human upper
limb based on data collected with two Myo armbands in a hybrid manner. The inertial …

Typical EEG-based BCI applications require the computation of complex functions over the
noisy EEG channels to be carried out in an efficient way. Deep learning algorithms are …

Recent advancements in robotics have led to the development of numerous interfaces to
enhance the intuitiveness of robot navigation. However, the reliance on traditional 2D …