Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

With the joint advancement in areas such as pervasive neural data sensing, neural
computing, neuromodulation and artificial intelligence, neural interface has become a …

There is a significant progress in the development of brain-controlled mobile robots and
robotic arms in the recent years. New advances in electroencephalography (EEG) …

In this article, the optimal control problem for robotic manipulators (RMs) with prescribed
constraints is addressed. Considering the environmental conditions and requirements of …

Motor Imagery Electroencephalogram (MI-EEG) signals are widely used in Brain-Computer
Interfaces (BCI). MI-EEG signals of large limbs movements have been explored in recent …

Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a
signal. The WT relies on a prototype signal that is called the mother wavelet. However, there …

Using motion information of the upper limb to control the prosthetic hand has become a
hotspot of current research. The operation of the prosthetic hand must also be coordinated …

Electroencephalogram (EEG) based motor trajectory decoding for efficient control of brain–
computer interface (BCI) systems has been an active area of research. The systems include …

Background: Recording the calibration data of a brain–computer interface is a laborious
process and is an unpleasant experience for the subjects. Domain adaptation is an effective …

Objective. Growing evidence suggests that electroencephalography (EEG) electrode
(sensor) potential time series (PTS) of slow cortical potentials (SCPs) hold motor neural …