誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究

• 資料種別: 博士論文
• タイトル: 誘発電位を増加させる視覚刺激と脳波を用いたコンピュータインタフェースに関する研究
• 著者・編者: Wilaiprasi, Theerawit; Wilaiprasitporn, Theerawit
• 著者標目: Wilaiprasi, Theerawit; Wilaiprasitporn, Theerawit
• 出版年月日等: 2017-03
• 出版年（W3CDTF）: 2017-03
• 並列タイトル等: A Study on Visual Stimulus Increasing Event-Related Potentials and Computer Interfaces Using EEG
• 授与機関名: 東京工業大学
• 授与年月日: 2017-03-26
• 授与年月日（W3CDTF）: 2017-03-26
• 報告番号: 甲第10557号
• 学位: 博士(工学)
• 博論授与番号: 甲第10557号
• 本文の言語コード: eng
• 件名標目: ฺbrain-computer interface, BCI, hybrid BCI, EEG, visual stimulation, event-related potential, ERP, drowsiness detection
• 対象利用者: 一般
• 一般注記: Brain--computer interfaces (BCIs) have been actively researched for over two decades. One of the primary goals is to create a non-muscular communication channel for locked-in patients. Electroencephalography (EEG) is a non-invasive technique that is commonly used in BCI measurement systems. Even though BCIs have a long history, their performance is still limited by the low signal-to noise ratio of EEG. A state-of-the-art BCI application is P300-based BCI. P300 refers to a major event-related potential (ERP) component that peaks around 300 ms after visual stimulus. P300 is an electroencephalographic correlate of target recognition in decision-making tasks. The P300 is used in several brain-computer interfaces (BCIs) as a non-motor signal of decisions, such as letter choice in the P300-Speller utility. Accuracy in choice specification depends on the difference in P300 amplitude evoked by target versus non-target stimuli. In this study, I describe visual stimulus factors, color, motion-modulated, complexity-modulated and orientation-modulated, all of which enhance the difference in P300 magnitude between target and non-target stimuli for P300-based BCIs. Stimulus arrays incorporating these visual factors may be used for the design of improved P300-based BCIs with greater choice accuracy and speed.To demonstrate advantage of research findings from visual factor studies, I report the development of a personal identification number (PIN) application using a P300-based BCI. I focus on visual stimulation design for increasing the evoked potential in the brain. Single-channel electroencephalography and a computationally inexpensive algorithm are used for P300 detection. Experimental results showed that my proposed stimulus induces higher P300 amplitude than does a conventional stimulus. For a performance evaluation, I compare two versions of the proposed application, which are based on my `original P300 BCI' and `adaptive P300 BCI'. In the adaptive P300 BCI, I introduce a novel algorithm for P300 detection to improve the information transfer rate while maintaining acceptable accuracy. Experiments with 10 healthy participants reveal that the original P300 BCI achieves mean accuracy of 83.5 % at 11.4 bits/min and the adaptive version achieves mean accuracy of 86.0 % at 18.6 bits/min.On the basis of BCI and PIN application, I expand my research to hybrid BCI. Here, I propose a hybrid brain/blink computer interface based on a single-channel EEG amplifier. Eyelid closing and hard blink are selected as two possible inputs for control of the interface. A 2-min calibration is required before starting to use the interface. An algorithm for feature extraction and classification is developed for EEG signals from eyelid closing, hard blink, and resting. To evaluate the performance of the interface, I incorporate it into a personal identification number (PIN) application, in both visual and auditory modes. Experiments with 5 healthy participants reveal that the PIN application based on the interface achieved a mean accuracy of 97.4 %. In conclusion, I expect that my investigation will contribute to hybrid brain-computer interface research and technologies in the near future.; identifier:oai:t2r2.star.titech.ac.jp:50359226
• 国立国会図書館永続的識別子: info:ndljp/pid/11063146; https://dl.ndl.go.jp/pid/11063146
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• 収集根拠: 博士論文（自動収集）
• 受理日（W3CDTF）: 2018-04-03T03:53:09+09:00
• 作成日（W3CDTF）: 2017-02-20
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: 国立国会図書館内限定公開
• デジタル化資料送信: 図書館・個人送信対象外
• 遠隔複写可否（NDL）: 可
• 掲載誌（URI）: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100736171
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

目次

2021-05-17 再収集