연구실에서 2012년 출판한 논문

Han-Jeong Hwang, Jeong-Hwan Lim, Young-Jin Jung, Han Choi, Sang Woo Lee, and Chang-Hwan Im, "Development of an SSVEP-based BCI Spelling System Adopting a QWERTY-Style LED Keyboard," Journal of Neuroscience Methods, vol. 208, pp. 59-65, 2012.

이 Journal of Neuroscience Methods 저널에서 2010년부터 2014년까지 출간된 1588편의 논문 중 피인용 순위 상위 25편에 포함되어 Most-cited paper에 선정되었습니다 (http://www.journals.elsevier.com/journal-of-neuroscience-methods/most-cited-articles/)



본 연구실에서 2009년에 출간된 논문 역시 2014년까지 most-cited paper에 선정된 바 있으며 위의 논문이 2012년에 출간되었다는 점을 고려한다면 2017년에는 피인용 순위 Top5도 기대해 볼 수 있습니다.



논문 초록 및 정보는 다음과 같습니다.



Development of an SSVEP-based BCI spelling system adopting a QWERTY-style LED keyboard
Volume 208, Issue 1, June 2012, Pages 59-65
Hanjeong Hwang | Jeonghwan Lim | Youngjin Jung | Han Choi | Sangwoo Lee | Changhwan Im

In this study, we introduce a new mental spelling system based on steady-state visual evoked potential (SSVEP), adopting a QWERTY style layout keyboard with 30 LEDs flickering with different frequencies. The proposed electroencephalography (EEG)-based mental spelling system allows the users to spell one target character per each target selection, without the need for multiple step selections adopted by conventional SSVEP-based mental spelling systems. Through preliminary offline experiments and online experiments, we confirmed that human SSVEPs elicited by visual flickering stimuli with a frequency resolution of 0.1. Hz could be classified with classification accuracy high enough to be used for a practical brain-computer interface (BCI) system. During the preliminary offline experiments performed with five participants, we optimized various factors influencing the performance of the mental spelling system, such as distances between adjacent keys, light source arrangements, stimulating frequencies, recording electrodes, and visual angles. Additional online experiments were conducted with six participants to verify the feasibility of the optimized mental spelling system. The results of the online experiments were an average typing speed of 9.39 letters per minute (LPM) with an average success rate of 87.58%, corresponding to an average information transfer rate of 40.72 bits per minute, demonstrating the high performance of the developed mental spelling system. Indeed, the average typing speed of 9.39 LPM attained in this study was one of the best LPM results among those reported in previous BCI literatures. © 2012 Elsevier B.V.