According to the World Health Organization, hundreds of individuals commence wheelchair
use daily, often due to an injury such as spinal cord injury or through a condition such as a …

Motor imagery (MI) electroencephalography (EEG) is natural and comfortable for controllers,
and has become a research hotspot in the field of the brain–computer interface (BCI) …

Brain-computer interfaces (BCIs) rely heavily on motor imagery (MI) for operation, yet tactile
imagery (TI) presents a novel approach that may be advantageous in situations where visual …

Robot learning based on implicitly extracted error detections (eg, EEG-based error
detections) has been well-investigated in human-robot interaction (HRI). In particular, the …

Electrical activities of the human brain can be recorded with electroencephalography (EEG).
To characterize motor imagery (MI) tasks for brain–computer interface (BCI) implementation …

Abstract Purpose Brain-machine interfaces (BMIs) have been used for motor rehabilitation of
complex movements, such as those based on object manipulation. However, task …

Introduction Paralyzed and physically impaired patients face communication difficulties,
even when they are mentally coherent and aware. Electroencephalographic (EEG) brain …

Electroencephalography (EEG)-based brain—computer interface (BCI) is a non-invasive
technology with potential in various healthcare applications, including stroke rehabilitation …

Background: The G2019S-LRRK2 gene mutation is a common cause of hereditary
Parkinson's disease (PD), associated with a higher frequency of the postural instability gait …

With the increasing demand for natural interactions, people have realized that an intuitive
Computer-Aided Design (CAD) interaction mode can reduce the complexity of CAD …