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| Presentation | 2017-08-30 11:00 [Poster Presentation] Discrimination and Feature Estimation of Brain Magnetic Field Data Associated with Japanese Speech Sound Imagery Shihomi Uzawa (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Seiji Nakagawa (Chiba Univ./AIST)  SP2017-28 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Brain computer interface (BCI) technologies, which enable direct communication between the brain and external devices, have been developed. However, most of the BCI systems that have been developed are the “P300-speller” type, which can only detect objects that users direct his/her attention at. With such BCI systems, users can only choose something from among what was prepared in advance. To develop more versatile BCI systems that can detect a user’s intention or thoughts, the brain responses associated with verbal imagery need to be clarified. In this study, first, the time-frequency features were extracted from the brain magnetic field data associated with Japanese speech sound imagery using continuous Wavelet Transform (CWT). Second, the low-dimensional features were extracted from the time-frequency features using non-negative tensor factorization (NTD). Finally, the imagined sounds were classified by using the extracted low-dimensional feature vectors. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | magnetoencephalography (MEG) / speech sound imagery / non-negative tensor decomposition / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 189, SP2017-28, pp. 39-43, Aug. 2017. | |
| Paper # | SP2017-28 | |
| Date of Issue | 2017-08-23 (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 | SP2017-28 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2017-08-30 - 2017-08-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyoto Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2017-08-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Discrimination and Feature Estimation of Brain Magnetic Field Data Associated with Japanese Speech Sound Imagery |
| Sub Title (in English) | |
| Keyword(1) | magnetoencephalography (MEG) |
| Keyword(2) | speech sound imagery |
| Keyword(3) | non-negative tensor decomposition |
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| 1st Author's Name | Shihomi Uzawa |
| 1st Author's Affiliation | Kobe University/National Institute of Advanced Industrial Science and Technology (Kobe Univ./AIST) |
| 2nd Author's Name | Tetsuya Takiguchi |
| 2nd Author's Affiliation | Kobe University (Kobe Univ.) |
| 3rd Author's Name | Yasuo Ariki |
| 3rd Author's Affiliation | Kobe University (Kobe Univ.) |
| 4th Author's Name | Seiji Nakagawa |
| 4th Author's Affiliation | Chiba University/National Institute of Advanced Industrial Science and Technology (Chiba Univ./AIST) |
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| Speaker | Author-1 |
| Date Time | 2017-08-30 11:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | SP2017-28 |
| Volume (vol) | vol.117 |
| Number (no) | no.189 |
| Page | pp.39-43 |
| #Pages | 5 |
| Date of Issue | 2017-08-23 (SP) |
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