The Development of BCI Using Alpha Waves for Controlling the Robot Arm

Material type: その他

Author: INOUE, Shinsukeほか

Publisher: 社団法人電子情報通信学会

Publication date: 2008-07

Material Format: Digital

Capacity, size, etc.: -

NDC: -

View All

Notes on use

Note (General)：: 出版タイプ： AOThe highly accurate BCI using alpha waves was developed for controlling the robot arm, and real-time operation was succeeded by using noninva...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

Ｕｎｉｖｅｒｓｉｔｙ　ｏｆ　Ｆｕｋｕｉ　Ａｃａｄｅｍｉｃ　Ｒｅｐｏｓｉｔｏｒｙ
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
Ｕｎｉｖｅｒｓｉｔｙ　ｏｆ　Ｆｕｋｕｉ　Ａｃａｄｅｍｉｃ　Ｒｅｐｏｓｉｔｏｒｙ

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: その他
Title: The Development of BCI Using Alpha Waves for Controlling the Robot Arm
Author/Editor: INOUE, Shinsuke
AKIYAMA, Yoko
IZUMI, Yoshinobu
NISHIJIMA, Shigehiro
Author Heading: INOUE, Shinsuke
AKIYAMA, Yoko
IZUMI, Yoshinobu
NISHIJIMA, Shigehiro
Publication, Distribution, etc.: 社団法人電子情報通信学会
Publication Date: 2008-07
Publication Date (W3CDTF): 2008
Periodical title: IEICE Transactions on Communications
No. or year of volume/issue: E91-B 7
Volume: E91-B
Issue: 7
Pages: 2125-2132
Subject Heading: BCI
alpha wave
control
artifact
non-training
Target Audience: 一般
Note (General): 出版タイプ： AO
The highly accurate BCI using alpha waves was developed for controlling the robot arm, and real-time operation was succeeded by using noninvasive electrodes. The significant components of the alpha wave were identified by spectral analysis and confirmation of the amplitude of the alpha wave. When the alpha wave was observed in the subject, the subjects were instructed to select the multiple decision branches, concerning 7 motions (including "STOP") of a robot arm. As a result, high accuracy (70-95%) was obtained, and the subject succeeded in transferring a small box by controlling the robot arm. Since high accuracy was obtained by use of this method, it can be applied to control equipments such as a robot arm. Since the alpha wave can be easily generated, the BCI using alpha waves does not need more training than that using other signals. Moreover, we tied to reduce the false positive errors by effectively detecting artifacts using spectral analysis and detecting signals of 50μV or more. As a result, the false positive errors could be reduced from 25% to 0%. Therefore, this technique shows great promise in the area of communication and the control of other external equipments, and will make great contribution in the improvement of Quality of Life (QOL) of mobility disabled.
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 福井大学 : 福井大学学術機関リポジトリ