Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) provide a novel
approach for controlling external devices. BCI technologies can be important enabling …

Coupling brain–computer interfaces (BCIs) and robotic systems in the future can enable
seamless personal assistant systems in everyday life, with the requests that can be …

Purpose Brain-computer interface (BCI)-controlled wheelchairs have the potential to
improve the independence of people with mobility impairments. The low uptake of BCI …

Recently, sparse representation-based classification has turned into a successful technique
for motor imagery electroencephalogram signal analysis. In this approach, the data is …

Neurodegenerative diseases present significant challenges in terms of mobility and
autonomy for patients. In the current context of technological advances, brain–computer …

A motorised wheelchair is a type of mobility aid that helps people with physical limitations
get around independently. Historically, powered wheelchairs have been operated by …

Brain-Computer Interfaces (BCIs) are innovative systems that enable direct communication
between the brain and external devices. These interfaces have emerged as a transformative …

EEG-based interfaces are an active area of research that has great potential. We therefore
focused on classifying motor imaging (MI) tasks from various problem areas. Because of …

Engineering faces an interdisciplinary problem in aiding patients with severe neurological
conditions that impede their ability to move independently. EEG-based brain-computer …

People with quadriplegia rely on someone else to get around using a manual wheelchair.
Using motorized wheelchairs gives them some independence and, simultaneously, the …