Sensor-level human brain activity is studied during real and imaginary motor execution
using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation …

Comprehending the neurophysiological mechanics of hazard recognition (HR) is crucial in
image analysis and automated hazard inspection. Although previous studies have used …

Neural interfaces facilitating communication between the brain and machines must be
compatible with the soft, curvilinear, and elastic tissues of the brain and yet yield enough …

Numerous open-access electroencephalography (EEG) datasets have been released and
widely employed by EEG researchers. However, not many functional near-infrared …

Motor impairment has a profound impact on a significant number of individuals, leading to a
substantial demand for rehabilitation services. Through brain–computer interfaces (BCIs) …

The feasibility of the random subspace ensemble learning method was explored to improve
the performance of functional near-infrared spectroscopy-based brain-computer interfaces …

We have witnessed a rapid development of brain-computer interfaces (BCIs) linking the
brain to external devices. BCIs can be utilized to treat neurological conditions and even to …

Functional near-infrared spectroscopy (fNIRS) is increasingly used to investigate different
mental tasks for brain-computer interface (BCI) control due to its excellent environmental …

We improved the performance of a functional near-infrared spectroscopy (fNIRS)-based
brain–computer interface based on relatively short task duration and multiclass …

The wondrous innovations bound to the introduction of functional near-infrared spectroscopy
in cognitive neuroscience are characterized by a multifaceted nature, ranging from …