In recent years, the concept of the Metaverse has attracted considerable attention. This
article provides a comprehensive overview of the Metaverse. First, the development status of …

The brain–computer interface (BCI) is an emerging technology that has the potential to
revolutionize the world, with numerous applications ranging from healthcare to human …

In recent years, brain-based technologies that capitalise on human abilities to facilitate
human–system/robot interactions have been actively explored, especially in brain robotics …

Objective. Deep learning (DL) networks are increasingly attracting attention across various
fields, including electroencephalography (EEG) signal processing. These models provide …

The rapid adoption of generative Artificial Intelligence (AI) tools that can generate realistic
images or text, such as DALL-E, MidJourney, or ChatGPT, have put the societal impacts of …

Objective: Advances in the motor imagery (MI)-based brain-computer interfaces (BCIs) allow
control of several applications by decoding neurophysiological phenomena, which are …

The next step of digital development is the metaverse, which has the potential to drastically
alter how people use technology and expand the range of services available beyond …

The common spatial patterns (CSP) algorithm is the most popular spatial filtering method
applied to extract electroencephalogram (EEG) features for motor imagery (MI) based brain …

In the previous decade, breakthroughs in the central nervous system bioinformatics and
computational innovation have prompted significant developments in brain–computer …

Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic
oscillations of neural activity, which is one of the core technologies of brain-computer …