most citedEEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech

1 citations · 2 across the 5 of their papers we have counts for

collaborators
Showing cs.HCShow all

3 papers · 1 filter

cs.HC2023

Subject-Independent Classification of Brain Signals using Skip Connections

Soowon Kim, Ji-Won Lee, Young-Eun Lee +1

Untapped potential for new forms of human-to-human communication can be found in the active research field of studies on the decoding of brain signals of human speech. A brain-comp…

cs.HC2021★ 1 cited

EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech

Young-Eun Lee, Seo-Hyun Lee

Transformers are groundbreaking architectures that have changed a flow of deep learning, and many high-performance models are developing based on transformer architectures. Transfo…

cs.HC2021★ 1 cited

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

Young-Eun Lee, Gi-Hwan Shin, Minji Lee +1

We present a mobile dataset obtained from electroencephalography (EEG) of the scalp and around the ear as well as from locomotion sensors by 24 participants moving at four differen…