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

Brain-Computer Interface (BCI) is a technology that uses electroencephalographic (EEG)
signals to control external devices, such as Functional Electrical Stimulation (FES). Visual …

With the popularization of brain-computer interface (BCI) technology, the research on
intention recognition of motor imagery (MI) in electroencephalogram (EEG) has turned to the …

A cognitive alteration in the form of diverse mental states has a significant impact on the
performance of electroencephalography (EEG) based brain computer interface (BCI). Such …

Rehabilitation therapies are widely employed to assist people with motor impairments in
regaining control over their affected body parts. Nevertheless, factors such as fatigue and …

Transfer learning (TL) has been proven to be one of the most significant techniques for cross-
subject classification in electroencephalogram (EEG)-based brain-computer interfaces …

This paper explores the potential benefits of integrating a brain–computer interface (BCI)
utilizing the visual-evoked potential paradigm (SSVEP) with a six-degrees-of-freedom (6 …

Brain-robot interaction (BRI) empowers individuals to control (semi-) automated machines
through their brain activity, either passively or actively. In the past decade, BRI systems have …

The idea of controlling the environment with the mind was considered to be science fiction.
However, technological advancements have paved a platform namely, brain computer …

Loss of hand dexterity is a major challenge faced by post-stroke patients who strive to
resume their ordinary daily lives. Effective hand function rehabilitation treatment for such …