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Research
Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering
Author Administrator (IP: *.152.74.116) Date 2018-03-16 09:57 Views 1,149
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Prof. Seong-Whan Lee's new research, A High Performance Spelling System based on EEG-EOG Signals with Visual Feedback was accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering.

 

Title: A High Performance Spelling System based on EEG-EOG Signals with Visual Feedback 

Abstract: In this paper, we propose a highly accurate and fast spelling system that employs multi-modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback technology. Over the last 20 years, various types of speller systems have been developed in brain-computer interface (BCI) and EOG/eye-tracking research; however, these conventional systems have a trade-off between the spelling accuracy (or decoding) and typing speed. Healthy users and physically challenged participants, in particular, may become exhausted quickly; thus, there is a need for a speller system with fast typing speed while retaining a high level of spelling accuracy. In this study we propose the first hybrid speller system that combines EEG and EOG signals with visual feedback technology so that the user and the speller system can act cooperatively for optimal decision-making. The proposed spelling system consists of a classic row-column event-related potential (ERP) speller, an EOG command detector, as well as visual feedback modules. First, the online ERP speller calculates classification probabilities for all candidate characters from the EEG epochs. Second, characters are sorted by their probability, and the characters with the highest probabilities are highlighted as visual feedback within the row-column spelling layout. Finally, the user can actively select the character as the target by generating an EOG command. The proposed system shows 97.6% spelling accuracy and an information transfer rate of 39.6 (±13.2) [bits/min] across twenty participants. In our extended experiment, we redesigned the visual feedback and minimized the number of channels (4 channels) in order to enhance the speller performance and increase usability. Most importantly, a new weighted strategy resulted in 100% accuracy and a 57.8 (±23.6) [bits/min] information transfer rate (ITR) across six participants. This study demonstrates that the proposed system can provide a reliable communication channel for practical speller applications and may be used to supplement existing systems.
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Research
Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's paper accepted in NeuroImage
Prof. Heung-Il Suk's research paper, Modeling Regional Dynamics in Low-Frequency Fluctuation and Its Application to Autism Spectrum Disorder Diagnosis was accepted in NeuroImage. Title: Modeling Regional Dynamics in Low-Frequency Fluctuation and Its Application to Autism Spectrum Disorder Diagnosis Abstract: With the advent of neuroimaging techniques, many studies in the literature have validated the use of resting-state …

2018-09-17

Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering
Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Neural Systems and Rehab…
Prof. Seong-Whan Lee's new research, A High Performance Spelling System based on EEG-EOG Signals with Visual Feedback was accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering. Title: A High Performance Spelling System based on EEG-EOG Signals with Visual Feedback Abstract: In this paper, we propose a highly accurate and fast spelling system that employs multi-modal electroencephalography-electrooculography (EEG-…

2018-03-16

Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Industrial Electronics
Prof.Jae-Ho Han’s paper accepted in IEEE Transactions on Industrial Electronic
Prof. Jae-Ho Han’s new research on `Stable Extended Imaging Area Sensing without Mechanical Movement Based on Spatial Frequency Multiplexing` was accepted in IEEE Transactions on Industrial Electronics. Title: Stable Extended Imaging Area Sensing without Mechanical Movement Based on Spatial Frequency MultiplexingAbstract: Testing process in industrial profiling depends on the characterization of 3D objects with high-sensitivity in spa…

2018-01-24

Prof. Seong-Whan Lee's paper accepted in Scientific Reports
Prof. Seong-Whan Lee's paper accepted in Scientific Reports
Prof. Seong-Whan Lee's new research, Network Properties in Transitions of Consciousness during Propofol-induced Sedation was accepted in Scientific Reports. Title: Network Properties in Transitions of Consciousness during Propofol-induced Sedation Abstract Reliable electroencephalography (EEG) signatures of transitions between consciousness and unconsciousness under anaesthesia have not yet been identified. Herein we examined …

2017-11-20

Prof. Seong-Whan Lee's paper accepted in Pattern Recognition
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Prof. Seong-Whan Lee's new research,  Discriminative Context Learning with Gated Recurrent Unit for Group Activity Recognition was accepted in Pattern Recognition.  Title: Discriminative Context Learning with Gated Recurrent Unit for Group Activity Recognition  Abstract In this study, we address the problem of similar local motions that create confusion within different group activities. To reduce the influences…

2017-11-13

Prof. Byoung-Kyong Min's paper accepted in Hearing Research
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Prof. Byoung-Kyong Min's new research, The Absence of Resting-state High-Gamma Cross-Frequency Coupling in Patients with Tinnitus was accepted in Hearing Research.Title: The Absence of Resting-state High-Gamma Cross-Frequency Coupling in Patients with Tinnitus Abstract:Tinnitus is a psychoacoustic phantom perception of currently unknown neuropathology. Despite a growing number of post-stimulus tinnitus studies, uncertainty still exists regar…

2017-10-23

Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgical Anesthesiology
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2017-09-27

Prof. Christian Wallraven’s paper accepted in Brain Structure and Function
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2017-09-06

Prof. Seong-Whan Lee's paper accepted in Human Brain Mapping
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Prof. Seong-Whan Lee's new research, Multiple Functional Networks Modeling for Autism Spectrum Disorder Diagnosis was accepted in Human Brain Mapping. Title: Multiple Functional Networks Modeling for Autism Spectrum Disorder Diagnosis AbstractDespite countless studies on Autism Spectrum Disorder (ASD), diagnosis relies on specific behavioral criteria and neuroimaging biomarkers for the disorder are still relatively scarce and …

2017-08-08

Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering
Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Neural Systems and Rehab…
Prof. Seong-Whan Lee's new research, Motion-based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces was accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering. Title: Motion-based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces  Abstract: Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts, …

2017-08-02

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