activity
20202025
most citedConsciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring

2 citations · 5 across the 20 of their papers we have counts for

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Showing cs.HCShow all

7 papers · 1 filter

cs.HC2025★ 1 cited

Personalized targeted memory reactivation enhances consolidation of challenging memories via slow wave and spindle dynamics

Gi-Hwan Shin, Young-Seok Kweon, Seungwon Oh +1

Sleep is crucial for memory consolidation, underpinning effective learning. Targeted memory reactivation (TMR) can strengthen neural representations by re-engaging learning circuit…

cs.HC2025

A Quantitative Framework for Assessing Sleep Quality from EEG Time Series in Complex Dynamic Systems

Gi-Hwan Shin

Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the immune system. Sleep quality (SQ) is vital for physiological and mental health, m…

cs.HC2024

Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms

Heon-Gyu Kwak, Gi-Hwan Shin, Yeon-Woo Choi +4

In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services t…

cs.HC2022

Development of Personalized Sleep Induction System based on Mental States

Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak

Sleep is an essential behavior to prevent the decrement of cognitive, motor, and emotional performance and various diseases. However, it is not easy to fall asleep when people want…

cs.HC2021

Possibility of Sleep Induction using Auditory Stimulation based on Mental States

Young-Seok Kweon, Gi-Hwan Shin

Sleep has a significant role to maintain our health. However, people have struggled with sleep induction because of noise, emotion, and complicated thoughts. We hypothesized that t…

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…

cs.HC2020

Prediction of Event Related Potential Speller Performance Using Resting-State EEG

Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim +1

Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject perfor…