Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …

Brain-computer interface (BCI) aims to translate human intention into a control output signal.
In motor-imaginary (MI) BCI, the imagination of movement modifies the cortex brain activity …

As a new communication mode between human and computers, brain-computer interfaces
(BCIs) based on electroencephalography (EEG) have been widely studied. In order to …

Purpose The brain–computer interface (BCI) based on motor imagery (MI) has attracted
extensive interest due to its spontaneity and convenience. However, the traditional MI …

The patient with a severely spinal injury needs an intention-controlled nursing bed (NB)
robot to help the body actions. To recognize human intentions, the brain–computer interface …

The human machine interface research in the light of modern fast computers and advanced
sensors is taking new heights. The classification and processing of neural activity in the …

As a new type of human–computer interaction technology, brain-computer interface (BCI)
systems can translate the electroencephalography (EEG) signals as control commands. In …

Speech imagery brain computer interfaces (BCIs) empower people with motor disorders to
communicate their thoughts and intentions to their environment in a natural, user-friendly …

Motor imagery (MI) based Electroencephalogram (EEG) Brain-computer interface (BCI)
detects neural activity generated due to kinesthetic imagination of limbs from brain scalp and …

In order to increase the classification accuracy of the mental tasks with speech imagery, a
time-frequency-space range selection model based on neighborhood mutual information …