1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Imagined Speech and Visual Imagery as Intuitive Paradigms for Brain-Computer Interfaces
Seo-Hyun Lee, Ji-Ha Park, Deok-Seon Kim
Brain-computer interfaces (BCIs) have shown promise in enabling communication for individuals with motor impairments. Recent advancements like brain-to-speech technology aim to rec…
cs.AI2024★ 1 cited
Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface
Ji-Ha Park, Seo-Hyun Lee, Soowon Kim +1
Interpreting human neural signals to decode static speech intentions such as text or images and dynamic speech intentions such as audio or video is showing great potential as an in…
cs.CL2023
Brain-Driven Representation Learning Based on Diffusion Model
Soowon Kim, Seo-Hyun Lee, Young-Eun Lee +3
Interpreting EEG signals linked to spoken language presents a complex challenge, given the data's intricate temporal and spatial attributes, as well as the various noise factors. D…