A review of user training methods in brain computer interfaces based on mental tasks
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
Neural decoding of imagined speech and visual imagery as intuitive paradigms for BCI communication
SH Lee, M Lee, SW Lee - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
Brain-computer interface (BCI) is oriented toward intuitive systems that users can easily
operate. Imagined speech and visual imagery are emerging paradigms that can directly …
operate. Imagined speech and visual imagery are emerging paradigms that can directly …
Networking systems of AI: On the convergence of computing and communications
Artificial intelligence (AI) and 5G system have been two hot technical areas that are
changing the world. On the deep convergence of computing and communication, networking …
changing the world. On the deep convergence of computing and communication, networking …
Application of continuous wavelet transform and convolutional neural network in decoding motor imagery brain-computer interface
HK Lee, YS Choi - Entropy, 2019 - mdpi.com
The motor imagery-based brain-computer interface (BCI) using electroencephalography
(EEG) has been receiving attention from neural engineering researchers and is being …
(EEG) has been receiving attention from neural engineering researchers and is being …
Feasibility of decoding visual information from EEG
Decoding visual information, such as visual imagery and perception, from EEG data can be
used to improve understanding of the neural representation of visual information and to …
used to improve understanding of the neural representation of visual information and to …
Towards an EEG-based intuitive BCI communication system using imagined speech and visual imagery
Communication using brain-computer interface (BCI) has developed in attempts toward an
intuitive system by decoding the imagined speech or visual imagery. However …
intuitive system by decoding the imagined speech or visual imagery. However …
Brain–computer interfaces as an architectural design tool: Feasibility and usability study
The applications of brain-computer interfaces (BCIs) for ideation scenarios in architectural
design have not been widely explored. In this paper, a BCI tool was developed and tested …
design have not been widely explored. In this paper, a BCI tool was developed and tested …
Deep-learning-based BCI for automatic imagined speech recognition using SPWVD
The electroencephalogram (EEG)-based brain–computer interface (BCI) has potential
applications in neuroscience and rehabilitation. It benefits a person with neurological …
applications in neuroscience and rehabilitation. It benefits a person with neurological …
Image visualization: Dynamic and static images generate users' visual cognitive experience using eye-tracking technology
H Pei, X Huang, M Ding - Displays, 2022 - Elsevier
This paper discusses the influence of dynamic images and traditional static images on user
perception in web interface visualizations of products. First, thirty graduate students in …
perception in web interface visualizations of products. First, thirty graduate students in …
Multiscale convolutional transformer for EEG classification of mental imagery in different modalities
A new kind of sequence–to–sequence model called a transformer has been applied to
electroencephalogram (EEG) systems. However, the majority of EEG–based transformer …
electroencephalogram (EEG) systems. However, the majority of EEG–based transformer …