Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …

Brain-computer interface (BCI) technology represents a burgeoning interdisciplinary domain
that facilitates direct communication between individuals and external devices. The efficacy …

Reconstructing intended speech from neural activity using brain-computer interfaces holds
great promises for people with severe speech production deficits. While decoding overt …

Imagined speech is a highly promising paradigm due to its intuitive application and
multiclass scalability in the field of brain-computer interfaces. However, optimal feature …

In brain-computer interface (BCI) applications, imagined speech (IMS) decoding based on
electroencephalography (EEG) has established a new neuro-paradigm that offers an …

Introduction Articulography and functional neuroimaging are two major tools for studying the
neurobiology of speech production. Until now, however, it has generally not been feasible to …

Multivariate pattern analysis (MVPA) has played an extensive role in interpreting brain
activity, which has been applied in studies with modalities such as functional Magnetic …

The recognition of inner speech, which could give a 'voice'to patients that have no ability to
speak or move, is a challenge for brain-computer interfaces (BCIs). A shortcoming of the …

The current magnetoencephalography (MEG) systems, which rely on cables for control and
signal transmission, do not fully realize the potential of wearable optically pumped …

The perception and recognition of objects around us empower environmental interaction.
Harnessing the brain's signals to achieve this objective has consistently posed difficulties …