Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

Background Paralysis or amputation of an arm results in the loss of the ability to orient the
hand and grasp, manipulate, and carry objects, functions that are essential for activities of …

Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them
into commands that are relayed to output devices that carry out desired actions. BCIs do not …

Objective. At the balanced intersection of human and machine adaptation is found the
optimally functioning brain–computer interface (BCI). In this study, we report a novel …

Many studies over the past two decades have shown that people can use brain signals to
convey their intent to a computer using brain-computer interfaces (BCIs). BCI systems extract …

Goal: Sensorimotor-based brain–computer interfaces (BCIs) have achieved successful
control of real and virtual devices in up to three dimensions; however, the traditional sensor …

Advances in brain-computer interface (BCI) technology have facilitated the detection of
Motor Imagery (MI) from electroencephalography (EEG). First, we present three strategies of …

Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to
investigate how the brain can use these systems to control external devices. We review the …

Brain-computer interfaces (BCIs) are used to translate brain activity signals into control
signals for external devices. Currently, it is difficult for BCI systems to provide the multiple …