Improving performance in motor imagery BCI-based control applications via virtually embodied feedback
JW Choi, S Huh, S Jo - Computers in Biology and Medicine, 2020 - Elsevier
Objective Brain-computer interfaces (BCIs) based on motor imagery (MI) are commonly used
for control applications. However, these applications require strong and discriminant neural …
for control applications. However, these applications require strong and discriminant neural …
Observing actions through immersive virtual reality enhances motor imagery training
Visual information plays an essential role in enhancing neural activity during mental practices.
Previous research has shown that using different visual scenarios during mental practices …
Previous research has shown that using different visual scenarios during mental practices …
Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction
Action segmentation aims to split videos into segments of different actions. Recent work
focuses on dealing with long-range dependencies of long, untrimmed videos, but still suffers …
focuses on dealing with long-range dependencies of long, untrimmed videos, but still suffers …
Surface-functionalized SERS platform for deep learning-assisted diagnosis of Alzheimer's disease
M Kim, S Huh, HJ Park, SH Cho, MY Lee, S Jo… - Biosensors and …, 2024 - Elsevier
Early diagnosis of Alzheimer's disease is crucial to stall the deterioration of brain function, but
conventional diagnostic methods require complicated analytical procedures or inflict acute …
conventional diagnostic methods require complicated analytical procedures or inflict acute …
Asynchronous motor imagery BCI and LiDAR-based shared control system for intuitive wheelchair navigation
Mapping drivers’ thoughts directly to mobility system control would make driving more intuitive
as if the mobility system is an extension of their own body. Such a system would allow …
as if the mobility system is an extension of their own body. Such a system would allow …
Improved explanatory efficacy on human affect and workload through interactive process in artificial intelligence
Despite recent advances in the field of explainable artificial intelligence systems, a concrete
quantitative measure for evaluating the usability of such systems is nonexistent. Ensuring …
quantitative measure for evaluating the usability of such systems is nonexistent. Ensuring …
An eog/eeg-based hybrid brain-computer interface for chess
Most user interfaces require motion; the motor-impaired therefore do not have many options
to choose from. Electroencephalography (EEG) and the analysis of eye movement are two …
to choose from. Electroencephalography (EEG) and the analysis of eye movement are two …
Development of a Prediction Model for Daily PM2.5 in Republic of Korea by Using an Artificial Neutral Network
This study aims to develop PM 2.5 prediction models using air pollutant data (PM 10 , NO 2 ,
SO 2 , O 3 , CO, and PM 2.5 ) and meteorological data (temperature, humidity, wind speed, …
SO 2 , O 3 , CO, and PM 2.5 ) and meteorological data (temperature, humidity, wind speed, …
Daily PM2.5 Estimation using Multiple Linear Regression and Artificial Neural Networks Before 2015
JW Huh, SJ Park - Journal of Industrial Technology, 2024 - koreascience.kr
Since 2015, the PM 2.5 measurement data has been publicly available nationwide in South
Korea, but its use is restricted to after 2015, unlike other air pollutants. To overcome this …
Korea, but its use is restricted to after 2015, unlike other air pollutants. To overcome this …
HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping
Despite the prevalence of robotic manipulation tasks in various real-world applications of
different requirements and needs, there has been a lack of focus on enhancing the adaptability …
different requirements and needs, there has been a lack of focus on enhancing the adaptability …