Examination and It's Evaluation of Preprocessing Method for Individual Identification in EEG

• Masato, Yamashita

• Minoru, Nakazawa

• Yukinobu, Nishikawa

• Noriyuki, Abe

抄録

Recently, the technology of BMI that communicates with humans and operates a robot using human brain information has been actively studied. The authentification function using BMI has been studied by previous research. Although many studies focus on feature extraction and learning model creation, there are few studies that discuss the effectiveness of preprocessing. In this study, we implemented an EEG biometric function using image stimulation method. In this paper, we proposed biometric authentication system system using EEG at time of image stimulus. At the same time, we evaluated the change in authentication accuracy in order to verify the preprocessing (digital filter, artifact countermeasure, epoch) method in the authentication system. As a result, authentication accuracy is improved by performing the proposed preprocessing. In addition, it was shown that convenience and security were improved when using the system.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.28(2020) (online)DOI　http://dx.doi.org/10.2197/ipsjjip.28.239------------------------------

Recently, the technology of BMI that communicates with humans and operates a robot using human brain information has been actively studied. The authentification function using BMI has been studied by previous research. Although many studies focus on feature extraction and learning model creation, there are few studies that discuss the effectiveness of preprocessing. In this study, we implemented an EEG biometric function using image stimulation method. In this paper, we proposed biometric authentication system system using EEG at time of image stimulus. At the same time, we evaluated the change in authentication accuracy in order to verify the preprocessing (digital filter, artifact countermeasure, epoch) method in the authentication system. As a result, authentication accuracy is improved by performing the proposed preprocessing. In addition, it was shown that convenience and security were improved when using the system.------------------------------This is a preprint of an article intended for publication Journal ofInformation Processing(JIP). This preprint should not be cited. Thisarticle should be cited as: Journal of Information Processing Vol.28(2020) (online)DOI　http://dx.doi.org/10.2197/ipsjjip.28.239------------------------------

収録刊行物

• 情報処理学会論文誌

  情報処理学会論文誌 61 (3), 2020-03-15

キーワード

• [一般論文（推薦論文）] brain machine interface (BMI), brain wave, biometric, artifact, preprocessing

詳細情報

• CRID: 1050283688739000448
• NII論文ID: 170000181804
• NII書誌ID: AN00116647
• ISSN: 18827764
• Web Site: http://id.nii.ac.jp/1001/00204187/
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
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