[HTML][HTML] Gamification of motor imagery brain-computer interface training protocols: A systematic review
Abstract Current Motor Imagery Brain-Computer Interfaces (MI-BCI) require a lengthy and
monotonous training procedure to train both the system and the user. Considering many …
monotonous training procedure to train both the system and the user. Considering many …
Parallel genetic algorithm based common spatial patterns selection on time–frequency decomposed EEG signals for motor imagery brain-computer interface
T Luo - Biomedical Signal Processing and Control, 2023 - Elsevier
Since the nonlinear and non-stationary characteristics of electroencephalogram (EEG)
signals, motor imagery based brain-computer interface (MI-BCI) have problems of poor …
signals, motor imagery based brain-computer interface (MI-BCI) have problems of poor …
Emerging Themes and Future Directions in Neurodesign and Human-Computer Interaction: A Systematic Review
W Tang, S Chen, J Shao, X Du, J Wu… - … Journal of Human …, 2024 - Taylor & Francis
While considerable research has been conducted, the field of neurodesign and human-
computer interaction (N-HCI) has yet to be methodically delineated in light of contemporary …
computer interaction (N-HCI) has yet to be methodically delineated in light of contemporary …
Towards identifying optimal biased feedback for various user states and traits in motor imagery BCI
Objective. Neural self-regulation is necessary for achieving control over brain-computer
interfaces (BCIs). This can be an arduous learning process especially for motor imagery BCI …
interfaces (BCIs). This can be an arduous learning process especially for motor imagery BCI …
Beta bursts question the ruling power for brain–computer interfaces
Objective: Current efforts to build reliable brain–computer interfaces (BCI) span multiple
axes from hardware, to software, to more sophisticated experimental protocols, and …
axes from hardware, to software, to more sophisticated experimental protocols, and …
Investigating user proficiency of motor imagery for EEG-based BCI system to control simulated wheelchair
The research on the electroencephalography (EEG)-based brain–computer interface (BCI)
is widely utilized for wheelchair control. The ability of the user is one factor of BCI efficiency …
is widely utilized for wheelchair control. The ability of the user is one factor of BCI efficiency …
Two sides of the same coin: adaptation of BCIs to internal states with user-centered design and electrophysiological features
The ideal brain–computer interface (BCI) adapts to the user's state to enable optimal BCI
performance. Two methods of BCI adaptation are commonly applied: User-centered design …
performance. Two methods of BCI adaptation are commonly applied: User-centered design …
Detection of eeg-based eye-blinks using a thresholding algorithm
In the electroencephalography (EEG) study, eye blinks are a commonly known type of ocular
artifact that appears most frequently in any EEG measurement. The artifact can be seen as …
artifact that appears most frequently in any EEG measurement. The artifact can be seen as …
[HTML][HTML] A Review of Brain–Computer Interface-Based Language Decoding: From Signal Interpretation to Intelligent Communication
Y Qiu, H Liu, M Zhao - Applied Sciences, 2025 - mdpi.com
Brain–computer interface (BCI) technologies for language decoding have emerged as a
transformative bridge between neuroscience and artificial intelligence (AI), enabling direct …
transformative bridge between neuroscience and artificial intelligence (AI), enabling direct …
Basis and Clinical Evidence of Virtual Reality-Based Rehabilitation of Sensorimotor Impairments After Stroke
In the recent years, the use of virtual reality (VR) to enhance motor skills of persons with
activity and participation restriction due to disease or injury has become an important area of …
activity and participation restriction due to disease or injury has become an important area of …