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A human-centric metaverse enabled by brain-computer interface: A survey
The growing interest in the Metaverse has generated momentum for members of academia
and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique …
and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique …
2020 International brain–computer interface competition: A review
The brain-computer interface (BCI) has been investigated as a form of communication tool
between the brain and external devices. BCIs have been extended beyond communication …
between the brain and external devices. BCIs have been extended beyond communication …
EEG-transformer: Self-attention from transformer architecture for decoding EEG of imagined speech
YE Lee, SH Lee - 2022 10th International winter conference on …, 2022 - ieeexplore.ieee.org
Transformers are groundbreaking architectures that have changed a flow of deep learning,
and many high-performance models are develo** based on transformer architectures …
and many high-performance models are develo** based on transformer architectures …
Automatic cardiac arrhythmia classification using residual network combined with long short-term memory
Diagnosis and classification of arrhythmia, which is associated with abnormal electrical
activities in the heart, are critical for clinical treatments. Previous studies focused on the …
activities in the heart, are critical for clinical treatments. Previous studies focused on the …
Towards voice reconstruction from EEG during imagined speech
YE Lee, SH Lee, SH Kim, SW Lee - … of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Translating imagined speech from human brain activity into voice is a challenging and
absorbing research issue that can provide new means of human communication via brain …
absorbing research issue that can provide new means of human communication via brain …
Multi-scale neural network for EEG representation learning in BCI
Recent advances in deep learning have had a methodological and practical impact on brain-
computer interface (BCI) research. Among the various deep network architectures …
computer interface (BCI) research. Among the various deep network architectures …
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 …
Real-time deep neurolinguistic learning enhances noninvasive neural language decoding for brain–machine interaction
Electroencephalogram (EEG)-based brain–machine interface (BMI) has been utilized to
help patients regain motor function and has recently been validated for its use in healthy …
help patients regain motor function and has recently been validated for its use in healthy …
Understanding the brain with attention: A survey of transformers in brain sciences
Owing to their superior capabilities and advanced achievements, Transformers have
gradually attracted attention with regard to understanding complex brain processing …
gradually attracted attention with regard to understanding complex brain processing …
Decoding imagined speech based on deep metric learning for intuitive BCI communication
DY Lee, M Lee, SW Lee - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Imagined speech is a highly promising paradigm due to its intuitive application and
multiclass scalability in the field of brain-computer interfaces. However, optimal feature …
multiclass scalability in the field of brain-computer interfaces. However, optimal feature …