Advances in brain science and computer technology in the past decade have led to exciting
developments in brain–computer interface (BCI), thereby making BCI a top research area in …

Similar to functional magnetic resonance imaging (fMRI), functional near-infrared
spectroscopy (fNIRS) detects the changes of hemoglobin species inside the brain, but via …

Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …

In this study, a brain-computer interface (BCI) framework for hybrid functional near-infrared
spectroscopy (fNIRS) and electroencephalography (EEG) for locked-in syndrome (LIS) …

Patients with severe CNS injuries struggle primarily with their sensorimotor function and
communication with the outside world. There is an urgent need for advanced neural …

Human nonverbal communication tools are very ambiguous and difficult to transfer to
machines or artificial intelligence (AI). If the AI understands the mental state behind a user's …

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) have emerged as a novel technology that bridges the
brain with external devices. BCIs have been developed to decode human's intention …

Brain-computer interface (BCI) technology shows potential for application to motor
rehabilitation therapies that use neural plasticity to restore motor function and improve …

Brain–computer interfaces (BCIs) provide bidirectional communication between the brain
and output devices that translate user intent into function. Among the different brain imaging …