An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

This paper explores two methodologies for drowsiness detection using EEG signals in a
sustained-attention driving task considering pre-event time windows, and focusing on cross …

Brain-controlled wheelchairs (BCWs) are a promising solution for people with severe motor
disabilities, who cannot use conventional interfaces. However, the low reliability of …

Brain-computer interfaces (BCIs) have long been seen as control interfaces that translate
changes in brain activity, produced either by means of a volitional modulation or in response …

Objective. Error-related potential (ErrP) is a potential elicited in the brain when humans
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …

Regaining the lost functionality of limbs is the top priority for people with motor skills
impairment as it directly affects their ability to execute activities of daily living and hence …

The human brain has been an object of extensive investigation in different fields. While
several studies have focused on understanding the neural correlates of error processing …

Objective. Motor imagery (MI) is a process of autonomously modulating the motor area to
rehearse action mentally without actual execution. Based on the neuroplasticity of the …

Brain-computer interface (BCI) technology enables innovative communication between the
brain and machines, extending its impact beyond healthcare to various daily activities …