Interface, interaction, and intelligence in generalized brain–computer interfaces

X Gao, Y Wang, X Chen, S Gao - Trends in cognitive sciences, 2021 - cell.com
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …

EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …

X Gu, Z Cao, A Jolfaei, P Xu, D Wu… - … /ACM transactions on …, 2021 - ieeexplore.ieee.org
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …

Transfer learning for EEG-based brain–computer interfaces: A review of progress made since 2016

D Wu, Y Xu, BL Lu - IEEE Transactions on Cognitive and …, 2020 - ieeexplore.ieee.org
A brain–computer interface (BCI) enables a user to communicate with a computer directly
using brain signals. The most common noninvasive BCI modality, electroencephalogram …

A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers

X Zhang, L Yao, X Wang, J Monaghan… - Journal of neural …, 2021 - iopscience.iop.org
Brain signals refer to the biometric information collected from the human brain. The research
on brain signals aims to discover the underlying neurological or physical status of the …

A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs

B Zang, Y Lin, Z Liu, X Gao - Journal of Neural Engineering, 2021 - iopscience.iop.org
Objective. Single-trial electroencephalography (EEG) classification is of great importance in
the rapid serial visual presentation (RSVP) task. Convolutional neural networks (CNNs), as …

A wearable navigation device for visually impaired people based on the real-time semantic visual SLAM system

Z Chen, X Liu, M Kojima, Q Huang, T Arai - Sensors, 2021 - mdpi.com
Wearable auxiliary devices for visually impaired people are highly attractive research topics.
Although many proposed wearable navigation devices can assist visually impaired people …

BWGAN-GP: An EEG data generation method for class imbalance problem in RSVP tasks

M Xu, Y Chen, Y Wang, D Wang, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the rapid serial visual presentation (RSVP) classification task, the data from the target and
non-target classes are incredibly imbalanced. These class imbalance problems (CIPs) can …

Use of neural signals to evaluate the quality of generative adversarial network performance in facial image generation

Z Wang, G Healy, AF Smeaton, TE Ward - Cognitive Computation, 2020 - Springer
There is a growing interest in using generative adversarial networks (GANs) to produce
image content that is indistinguishable from real images as judged by a typical person. A …

Assembling global and local spatial-temporal filters to extract discriminant information of EEG in RSVP task

B Li, S Zhang, Y Hu, Y Lin, X Gao - Journal of Neural Engineering, 2023 - iopscience.iop.org
Objective. Brain–computer interface (BCI) system has developed rapidly in the past decade.
And rapid serial visual presentation (RSVP) is an important BCI paradigm to detect the …

A review of EEG and fMRI measuring aesthetic processing in visual user experience research

Z Rui, Z Gu - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
In human‐computer interaction, the visual interaction of user experience (UX) and user
interface (UI) plays an important role in enriching the quality of daily life. The purpose of our …