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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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.12
- 수록면
- 24 - 29 (6page)
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초록· 키워드
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EEG-based brain-computer interfaces has focused on explicitly expressed intentions to assist physically impaired patients. For EEGbased-computer interfaces to function effectively, it should be able to understand users’ implicit information. Since it is hard to gather EEG signals of human brains, we do not have enough training data which are essential for proper classification performance of implicit intention. In this paper, we improve the subject independent classification of implicit intention through the generation of additional training data. In the first stage, we perform the PCA (principal component analysis) of training data in a bid to remove redundant components in the components within the input data. After the dimension reduction by PCA, we train ICA (independent component analysis) network whose outputs are statistically independent. We can get additional training data by adding Gaussian noises to ICA outputs and projecting them to input data domain. Through simulations with EEG data provided by CNSL, KAIST, we improve the classification performance from 65.05% to 66.69% with Gamma components. The proposed sample generation method
목차
ABSTRACT
1. INTRODUCTION
2. PRINCIPAL COMPONENT ANALYSIS AND INDEPENDENT COMPONENT ANALYSIS
3. GENERATION OF TRAINING DATA
4. CONCLUSION
REFERENCES
참고문헌 (18)
참고문헌 신청
[학술지(정기간행물)] - Y. LeCun / 2015 / Deep Learning / Nature 521 : 436 ~ 444
[학술대회논문] - A. Krizhevsky / 2012 / ImageNet Classification with Deep Convolutional Neural Networks / Advances in Neural Information Processing 25
[학술지(정기간행물)] - B. K. Kim / 2016 / Hierarchical Committee of Deep Convolutional Neural Networks for Robust facial Expression Recognition / J. Multimodal User Interfaces 10 (2) : 173 ~ 189
[학술지(정기간행물)] - J. R. Wolpaw / 2002 / Brain-Computer Interfaces for Communication and Control / Clin. Neurophysiol 113 : 767 ~ 791
[학술지(정기간행물)] - B. Blankertz / 2006 / The Berlin Brain-Computer Interface : EEG-based Communication without Subject Training / IEEE Trans. Neural Sys. and Rehabil 14 (2) : 147 ~ 152
[학술대회논문] - A. Krizhevsky / 2012 / ImageNet Classification with Deep Convolutional Neural Networks / Advances in Neural Information Processing 25
[학술지(정기간행물)] - B. K. Kim / 2016 / Hierarchical Committee of Deep Convolutional Neural Networks for Robust facial Expression Recognition / J. Multimodal User Interfaces 10 (2) : 173 ~ 189
[학술지(정기간행물)] - J. R. Wolpaw / 2002 / Brain-Computer Interfaces for Communication and Control / Clin. Neurophysiol 113 : 767 ~ 791
[학술지(정기간행물)] - B. Blankertz / 2006 / The Berlin Brain-Computer Interface : EEG-based Communication without Subject Training / IEEE Trans. Neural Sys. and Rehabil 14 (2) : 147 ~ 152
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