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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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The Performance research about EEG-BCI algorithm in BCI-naive subjects is very important for evaluating the applicability to the public. We analyzed the result of the performance evaluation experiment about the EEG-BCI algorithm in BCI-naive subjects on three different aspects. The EEG-BCI algorithm used in this paper is composed of the common spatial pattern(CSP) and the least square linear classifier. CSP is used for obtaining the characteristic of event related desynchronization, and the least square linear classifier classifies the motor imagery EEG data of the left hand or right hand. The performance evaluation experiments about EEG-BCI algorithm is conducted for 40 men and women whose age are 23.87±2.47. The performance evaluation about EEG-BCI algorithm in BCI-naive subjects is analyzed in terms of the accuracy, the relation between the information transfer rate and the accuracy, and the performance changes when the different types of cue were used in the training session and testing session. On the result of experiment, BCI-naive group has about 20% subjects whose accuracy exceed 0.7. And this results of the accuracy were not effected significantly by the types of cue. The Information transfer rate is in the inverse proportion to the accuracy. And the accuracy shows the severe deterioration when the motor imagery is less then 2 seconds.
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참고문헌 (12)
참고문헌 신청
Blankertz B / 2008 / Optimizing Spatial filters for Robust EEG Single-Trial Analysis / IEEE Signal Processing Magazine 25 (1) : 41 ~ 56
Blankertz B / 2008 / The Berlin Brain-Computer Interface: Accurate Performance From First-Session in BCI-NaIve Subjects / IEEE Transactions on Biomedical Engineering 55 (10)
C. Guger / 2000 / Real-Time EEG Analysis with Subject-Specific Spatial Patterns for a Brain?Computer Interface (BCI) / IEEE Transactions on Rehabilitation Engineering 8 (4) :
C. Guger / 2003 / How Many People are Able to Operate an EEG-Based Brain-Computer Interface (BCI)? / IEEE Transactions on neural systems and rehabilitation engineering 11 (2)
Dennis J. Mcfarland / 1997 / Design and operation of an EEG-based brain-computer interface with digital signal processing technology / Behavior Research Methods, Instruments
Blankertz B / 2008 / The Berlin Brain-Computer Interface: Accurate Performance From First-Session in BCI-NaIve Subjects / IEEE Transactions on Biomedical Engineering 55 (10)
C. Guger / 2000 / Real-Time EEG Analysis with Subject-Specific Spatial Patterns for a Brain?Computer Interface (BCI) / IEEE Transactions on Rehabilitation Engineering 8 (4) :
C. Guger / 2003 / How Many People are Able to Operate an EEG-Based Brain-Computer Interface (BCI)? / IEEE Transactions on neural systems and rehabilitation engineering 11 (2)
Dennis J. Mcfarland / 1997 / Design and operation of an EEG-based brain-computer interface with digital signal processing technology / Behavior Research Methods, Instruments
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