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| Presentation | 2013-03-15 10:40 Application of Support Vector Machines and Particle Swarm Optimization in the classification of auditory event-related potentials Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada (Nagaoka Univ. of Tech.)  NC2012-173 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The accurate detection of single-trial event-related potentials (ERP) is very important for the development of practical Brain-machine interfaces (BMI). This represents a classification problem in which the selection of the features obtained from electrical brain signals and the tuning of the classifier parameters must be adequately performed. In this work we propose an algorithm for the classification of auditory ERP that employs a combination of Particle Swarm Optimization (PSO) and Support Vector Machines (SVM). Specifically, the algorithm use PSO to find the best EEG channel combination and SVM parameters that maximize the classification of ERP. We perform simulations to assess the performance of the proposed algorithm and compare it to a na\"{i}ve grid-search algorithm. Our results show that the proposed algorithm achieved an accuracy of 75%, similar to the grid-search approach, but using half of the channels and requiring one third of the time to reach an optimal solution. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Auditory event-related potential / Support Vector Machines / Particle Swarm Optimization / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 480, NC2012-173, pp. 227-232, March 2013. | |
| Paper # | NC2012-173 | |
| Date of Issue | 2013-03-06 (NC) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2012-173 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2013-03-13 - 2013-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2013-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of Support Vector Machines and Particle Swarm Optimization in the classification of auditory event-related potentials |
| Sub Title (in English) | |
| Keyword(1) | Auditory event-related potential |
| Keyword(2) | Support Vector Machines |
| Keyword(3) | Particle Swarm Optimization |
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| 1st Author's Name | Alejandro Gonzalez |
| 1st Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech.) |
| 2nd Author's Name | Isao Nambu |
| 2nd Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech.) |
| 3rd Author's Name | Haruhide Hokari |
| 3rd Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech.) |
| 4th Author's Name | Yasuhiro Wada |
| 4th Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2013-03-15 10:40:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2012-173 |
| Volume (vol) | vol.112 |
| Number (no) | no.480 |
| Page | pp.227-232 |
| #Pages | 6 |
| Date of Issue | 2013-03-06 (NC) |
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