State-of-the-art on brain-computer interface technology
J Peksa, D Mamchur - Sensors, 2023 - mdpi.com
This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
Review on brain-computer interface technologies in healthcare
E Karikari, KA Koshechkin - Biophysical Reviews, 2023 - Springer
Brain-computer interface (BCI) technologies have developed as a game changer, altering
how humans interact with computers and opening up new avenues for understanding and …
how humans interact with computers and opening up new avenues for understanding and …
How to achieve human–machine interaction by foot gesture recognition: a review
Researchers are investigating how to make machines read our body language to make
human–machine interaction (HMI) more intelligent and efficient. The lower limbs contain a …
human–machine interaction (HMI) more intelligent and efficient. The lower limbs contain a …
[HTML][HTML] Evaluation of machine learning algorithms for classification of EEG signals
In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …
A critical survey of eeg-based bci systems for applications in industrial internet of things
R Ajmeria, M Mondal, R Banerjee… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) and its applications have seen a paradigm shift since the
advent of artificial intelligence and machine learning. However, these methods are mostly …
advent of artificial intelligence and machine learning. However, these methods are mostly …
[HTML][HTML] Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing
Since the concept of Industry 5.0 was proposed, the emphasis on human-machine
interaction (HMI) in industrial scenarios has continued to increase. HMI is part of the factory's …
interaction (HMI) in industrial scenarios has continued to increase. HMI is part of the factory's …
Locked-in syndrome revisited
L Schnetzer, M McCoy, J Bergmann… - Therapeutic …, 2023 - journals.sagepub.com
The locked-in syndrome (LiS) is characterized by quadriplegia with preserved vertical eye
and eyelid movements and retained cognitive abilities. Subcategorization, aetiologies and …
and eyelid movements and retained cognitive abilities. Subcategorization, aetiologies and …
Simultaneous EEG-fNIRS data classification through selective channel representation and spectrogram imaging
C Bunterngchit, J Wang, ZG Hou - IEEE Journal of Translational …, 2024 - ieeexplore.ieee.org
The integration of electroencephalography (EEG) and functional near-infrared spectroscopy
(fNIRS) can facilitate the advancement of brain-computer interfaces (BCIs). However …
(fNIRS) can facilitate the advancement of brain-computer interfaces (BCIs). However …
Recent trends in EEG based Motor Imagery Signal Analysis and Recognition: A comprehensive review.
The electroencephalogram (EEG) motor imagery (MI) signals are the widespread paradigms
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …
in the brain-computer interface (BCI). Its significant applications in the gaming, robotics, and …