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Fundamental research for brain machine interface by use of EEG from right frontal gyrus

Published: 28 October 2008 Publication History

Abstract

In order to develop a brain machine interface, the authors have investigated the brain activity during human recognition of characters and symbols representing directional meaning. The authors have recorded electroencephalograms (EEGs) from subjects viewing four types of Kanji (Chinese characters being used currently in the Japanese language) and arrows that were presented on a CRT. Each denoted direction for upward, downward, leftward and rightward, respectively. Subjects were asked to read them silently. Regardless of the directions, the reaction time was almost equal. EEGs were averaged for each stimulus type and direction, and event related potentials (ERPs) were obtained. The equivalent current dipole source localization (ECDL) method has been applied to these ERPs. In both cases, no large difference was observed until 250 ms at their latencies, and after that ECDs were localized to areas related to the working memory for the spatial perception. Taking into account these facts, the authors have investigated a single trial EEGs precisely after the latency at 400ms, and have determined effective sampling latencies for the discriminant analysis on four types of arrows: ↑, ↓, ← and →. By a discriminant analysis, the results of discriminant rate are 100% for each subject and for each trial. These results show the possibility of using EEGs for a brain machine interface in four type controls.

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  • (2009)Micro Robot Control by Use of Electroencephalograms from Right Frontal AreaJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2009.p006813:2(68-75)Online publication date: 20-Mar-2009

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CSTST '08: Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
October 2008
733 pages
ISBN:9781605580463
DOI:10.1145/1456223
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • The French Chapter of ACM Special Interest Group on Applied Computing
  • Ministère des Affaires Etrangères et Européennes
  • Région Ile de France
  • Communauté d'Agglomération de Cergy-Pontoise
  • Institute of Electrical and Electronics Engineers Systems, Man and Cybernetics Society
  • The European Society For Fuzzy And technology
  • Institute of Electrical and Electronics Engineers France Section
  • Laboratoire des Equipes Traitement des Images et du Signal
  • AFIHM: Ass. Francophone d'Interaction Homme-Machine
  • The International Fuzzy System Association
  • Laboratoire Innovation Développement
  • University of Cergy-Pontoise
  • The World Federation of Soft Computing
  • Agence de Développement Economique de Cergy-Pontoise
  • The European Neural Network Society
  • Comité d'Expansion Economique du Val d'Oise

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2008

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Author Tags

  1. EEG
  2. brain machine interface and micro robot
  3. directional symbol
  4. discriminant analysis
  5. mental translation

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  • (2009)Micro Robot Control by Use of Electroencephalograms from Right Frontal AreaJournal of Advanced Computational Intelligence and Intelligent Informatics10.20965/jaciii.2009.p006813:2(68-75)Online publication date: 20-Mar-2009

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