Electroencephalography (EEG)-based brain-computer interfaces (BCIs), particularly those
using motor-imagery (MI) data, have the potential to become groundbreaking technologies …

Brain-computer interfaces (BCIs) have undergone significant advancements in recent years.
The integration of deep learning techniques, specifically transformers, has shown promising …

Electroencephalography-based motor imagery (EEG-MI) classification is a critical
component of the brain-computer interface (BCI), which enables people with physical …

ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …

Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI)
which enables paralyzed people to directly communicate with and control external devices …

Brain–computer interfaces (BCIs) based on motor imagery (MI) enable the disabled to
interact with the world through brain signals. To meet demands of real-time, stable, and …

Automatic high-level feature extraction has become a possibility with the advancement of
deep learning, and it has been used to optimize efficiency. Recently, classification methods …

Motor disorder of upper limbs has seriously affected the daily life of the patients with
hemiplegia after stroke. We developed a wearable supernumerary robotic limb (SRL) …

Metaverse expands the cyberspace with more emphasis on human-in-loop interaction,
value definition of digital assets and real-virtual reflection, which facilitates the organic fusion …

Brain-computer interfaces (BCI) are an emerging technology that can read the brain signals
of users, derive behavioral intentions, and manifest them in the control of electronic …