The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Le BCI de haute précision utilisant des ondes alpha a été développé pour contrôler le bras du robot, et le fonctionnement en temps réel a été réussi grâce à l'utilisation d'électrodes non invasives. Les composantes significatives de l'onde alpha ont été identifiées par analyse spectrale et confirmation de l'amplitude de l'onde alpha. Lorsque l'onde alpha a été observée chez le sujet, il a été demandé aux sujets de sélectionner les multiples branches de décision, concernant 7 mouvements (y compris « STOP ») d'un bras robot. En conséquence, une grande précision (70 à 95 %) a été obtenue et le sujet a réussi à transférer une petite boîte en contrôlant le bras du robot. Étant donné qu’une grande précision a été obtenue grâce à cette méthode, elle peut être appliquée à des équipements de contrôle tels qu’un bras de robot. Puisque l’onde alpha peut être facilement générée, le BCI utilisant les ondes alpha n’a pas besoin de plus d’entraînement que celui utilisant d’autres signaux. De plus, nous avons essayé de réduire les erreurs faussement positives en détectant efficacement les artefacts à l’aide d’une analyse spectrale et en détectant des signaux de 50 µV ou plus. En conséquence, les erreurs de faux positifs ont pu être réduites de 25 % à 0 %. Par conséquent, cette technique s'avère très prometteuse dans le domaine de la communication et du contrôle d'autres équipements externes, et apportera une grande contribution à l'amélioration de la qualité de vie (QOL) des personnes handicapées à mobilité réduite.
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Shinsuke INOUE, Yoko AKIYAMA, Yoshinobu IZUMI, Shigehiro NISHIJIMA, "The Development of BCI Using Alpha Waves for Controlling the Robot Arm" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 7, pp. 2125-2132, July 2008, doi: 10.1093/ietcom/e91-b.7.2125.
Abstract: 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 tried to reduce the false positive errors by effectively detecting artifacts using spectral analysis and detecting signals of 50 µV 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.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.7.2125/_p
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@ARTICLE{e91-b_7_2125,
author={Shinsuke INOUE, Yoko AKIYAMA, Yoshinobu IZUMI, Shigehiro NISHIJIMA, },
journal={IEICE TRANSACTIONS on Communications},
title={The Development of BCI Using Alpha Waves for Controlling the Robot Arm},
year={2008},
volume={E91-B},
number={7},
pages={2125-2132},
abstract={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 tried to reduce the false positive errors by effectively detecting artifacts using spectral analysis and detecting signals of 50 µV 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.},
keywords={},
doi={10.1093/ietcom/e91-b.7.2125},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - The Development of BCI Using Alpha Waves for Controlling the Robot Arm
T2 - IEICE TRANSACTIONS on Communications
SP - 2125
EP - 2132
AU - Shinsuke INOUE
AU - Yoko AKIYAMA
AU - Yoshinobu IZUMI
AU - Shigehiro NISHIJIMA
PY - 2008
DO - 10.1093/ietcom/e91-b.7.2125
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2008
AB - 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 tried to reduce the false positive errors by effectively detecting artifacts using spectral analysis and detecting signals of 50 µV 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.
ER -