Brain-computer interface (BCI) is an alternative communication pathway between the human
brain and computer system without involving any muscles or actual motor neuron activities …

Decoding motor imagery (MI) signals accurately is important for Brain-Computer Interface
(BCI) systems for healthcare applications. Electroencephalography (EEG) decoding is a …

The leading perspective of this paper is an introduction to three\left (Type-I, Type-II,\, and\,
Type-III\right) types of ensemble architectures in Electroencephalogram (EEG) signal …

Abstract Brain Computer Interface is a technique used to measure brain activity in terms of
electrical signals. The recorded Electroencephalograph (EEG) signal is highly sensitive to …

EEG signals are used to capture human brain activity. EEG signals play a vital role in motor
imagery applications to control hands, feet, etc. A brain computer interface (BCI) is …

The use of driving navigation via a wheelchair joystick or electromyography (EMG) controller
for people with physical disabilities is still a challenge. Brain-Computer Interface (BCI) can …

Nowadays, motor imagery (MI) electroencephalogram (EEG) is mainly utilized for brain
computer interface (BCI) based prosthetic device developments and involves the accurate …

This work proposes a new way to apply the deep convolutional EfficientN etB0 model for the
classification to learn various electroencephalogram (EEG) signal properties on BCI …

Social media and news channels have always been vital sources for spreading information
and raising awareness about recent occurrences. As reported by a survey, 82 percent of …

Brain-Computer Interface (BCI) allows a person to move external devices using the mind
without involving muscles, gestures, and other motor functions. An Electroencephalogram …