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| Presentation | 2015-03-03 09:00 [Poster Presentation] Asynchronous brain-computer interfacing using canonical correlation analysis in phase space Kaori Suefusa, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.)  EA2014-100 SIP2014-141 SP2014-163 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Brain--computer interfaces (BCIs) can be categorized into two types by its operational protocol: synchronous BCI and asynchronous BCI. With the synchronous BCI, a user executes a command when a cue is given by the BCI system. On the contrary, with the asynchronous (self-paced) BCI, the timing of operation is dependent on the user, thus a command can be inputted when the user intends to do so. In the asynchronous BCIs, a state when the user does not intend to input commands needs to be considered. This state is typically called non-control (NC) state while a state when the user intents to input commands is called intentional control (IC) state. In this paper, we propose a new method of discrimination between the IC and the NC states using canonical correlation analysis (CCA) for steady-state visual evoked potential (SSVEP) based asynchronous BCIs. The method has following steps; first, a SSVEP frequency is recognized with CCA; next, a phase space is reconstructed from a recorded signal using the time-delay embedding method, and CCA is applied at each embedding dimension to extract features; last, using these features, the state of a user is detected as IC or NC with a classifier such as support vector machine (SVM). The proposed method was tested on six healthy subjects and has been proved to have much better performance than a conventional method in terms of sensitivity and specificity. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Brain--computer interface / Asynchronous BCI / Steady-state visual evoked potential / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 474, SIP2014-141, pp. 151-156, March 2015. | |
| Paper # | SIP2014-141 | |
| Date of Issue | 2015-02-23 (EA, SIP, SP) | |
| 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 | EA2014-100 SIP2014-141 SP2014-163 |
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| Conference Information | |
| Committee | SIP EA SP |
| Conference Date | 2015-03-02 - 2015-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2015-03-SIP-EA-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Asynchronous brain-computer interfacing using canonical correlation analysis in phase space |
| Sub Title (in English) | |
| Keyword(1) | Brain--computer interface |
| Keyword(2) | Asynchronous BCI |
| Keyword(3) | Steady-state visual evoked potential |
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| 1st Author's Name | Kaori Suefusa |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology (Tokyo Univ. of Agriculture and Tech.) |
| 2nd Author's Name | Toshihisa Tanaka |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology (Tokyo Univ. of Agriculture and Tech.) |
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| Speaker | Author-1 |
| Date Time | 2015-03-03 09:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SIP |
| Paper # | EA2014-100, SIP2014-141, SP2014-163 |
| Volume (vol) | vol.114 |
| Number (no) | no.473(EA), no.474(SIP), no.475(SP) |
| Page | pp.151-156 |
| #Pages | 6 |
| Date of Issue | 2015-02-23 (EA, SIP, SP) |
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