Human-computer interaction (HCI) research has been playing an essential role in the field of
rehabilitation. The usability of the gaze controlled powered wheelchair is limited due to …

This paper illustrates a new architecture for a human-humanoid interaction based on EEG-
brain computer interface (EEG-BCI) for patients affected by locked-in syndrome caused by …

The usability of virtual keyboard based eye-typing systems is currently limited due to the lack
of adaptive and user-centered approaches leading to low text entry rate and the need for …

Non-invasive brain-computer interface (BCI) provides a novel means of communication. This
can be achieved by measuring electroencephalogram (EEG) signal over the sensory motor …

Over the last decade, there has been a gradual increase in the number of people with
mobility and speech impairments who require novel communication devices. Most of the …

Монография посвящена проблемам, связанным с разработкой неинвазивных форм
интерфейсов «мозг–компьютер»(ИМК или BCI-brain-computer interface) …

People suffering from a variety of upper and lower limb disabilities due to different neuro-
muscular diseases or injuries, often find it difficult to perform day-to-day activities of mobility …

Motion-onset visual evoked potentials (mVEPs) are time-and phase-locked brain responses
to motion-related stimuli. An mVEP response provides robust features for brain-computer …

Brain-computer interface (BCI) systems facilitate unique communication between humans
and computers, benefiting severely disabled individuals. Despite decades of research, BCIs …

Decoding EEG during motor imagery is pivotal for the Brain-Computer Interface (BCI)
system, influencing its overall performance significantly. As end-to-end data-driven learning …