A state-of-the-art review of EEG-based imagined speech decoding
Currently, the most used method to measure brain activity under a non-invasive procedure is
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
the electroencephalogram (EEG). This is because of its high temporal resolution, ease of …
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 …
BCI wheelchair control using expert system classifying EEG signals based on power spectrum estimation and nervous tics detection
D Pawuś, S Paszkiel - Applied Sciences, 2022 - mdpi.com
The constantly developing biomedical engineering field and newer and more advanced BCI
(brain–computer interface) systems require their designers to constantly develop and search …
(brain–computer interface) systems require their designers to constantly develop and search …
Exploring the intersection of brain–computer interfaces and quantum sensing: a review of research progress and future trends
K Liao, Z Yang, D Tao, L Zhao, N Pires… - Advanced Quantum …, 2024 - Wiley Online Library
Brain–computer interfaces (BCIs) can revolutionize how humans interact with technology,
but several scientific and technological challenges must be addressed to realize their full …
but several scientific and technological challenges must be addressed to realize their full …
Subject-independent brain-computer interface for decoding high-level visual imagery tasks
Brain-computer interface (BCI) is used for communication between humans and devices by
recognizing humans' status and intention. Communication between humans and a drone …
recognizing humans' status and intention. Communication between humans and a drone …
An EEGgram-based neural network enhancing the decoding performance of visual imagery EEG signals to control the drone swarm
Brain-computer interface (BCI) is a technology that controls computers by reflecting users'
intentions. Especially the electroencephalogram (EEG)-based BCI systems have been …
intentions. Especially the electroencephalogram (EEG)-based BCI systems have been …
Brain-Computer Interface Controlled Drones: A Systematic Review
The goal of this systematic review is to examine the use of Brain-Computer Interfaces (BCIs)
for controlling unmanned aerial vehicles (UAVs) in real-time. A comprehensive search …
for controlling unmanned aerial vehicles (UAVs) in real-time. A comprehensive search …
A Combined Projection for Remote Control of a Vehicle Based on Movement Imagination: A Single Trial Brain Computer Interface Study
Disabled patients using brain computer interface (BCI) applications have a more convenient
life. The present study implements an electroencephalogram (EEG)-based signal …
life. The present study implements an electroencephalogram (EEG)-based signal …
Application of cluster repeated mini-batch training method to classify electroencephalography for grab and lift tasks
VQ Huynh, T Van Huynh - Medical Engineering & Physics, 2023 - Elsevier
Modern deep neural network training is based on mini-batch stochastic gradient
optimization. While using extensive mini-batches improves the computational parallelism …
optimization. While using extensive mini-batches improves the computational parallelism …
Control of unmanned vehicles in smart cities using a multi-modal brain–computer interface
D Wolf, M Mamchenko, E Jharko - Engineering Proceedings, 2023 - mdpi.com
The article presents an overview of several studies in the field of Brain–Computer Interfaces
(BCIs), the requirements for the architecture of such promising devices, as well as multi …
(BCIs), the requirements for the architecture of such promising devices, as well as multi …