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| Presentation | 2017-09-23 13:25 Detecting Emotional Suppression in the Presence of Disgust by Time Series Change of Cerebral Blood Flow using fNIRS Masahiro Honda, Hiroki Tanaka, Sakriani Sakti, Satoshi Nakamura (NAIST)  MBE2017-35 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A form of emotional suppression is defined as the conscious inhibition of emotional-expressive behaviors while emotionally aroused. In human-to-human interaction, there is a problem that if speakers suppress their emotions, their internal affective states cannot be expressed to the interlocutor. We propose a new recognition technique of emotional suppression that human may not perceive. In this study, in order to detect suppression of negative emotion, we used Functional Near-Infrared Spectroscopy, and measured cerebral blood flow during watching and speaking with neutral and disgust emotions. For the time series data of cerebral blood flow, we performed a statistical test to confirm whether there is a significant difference in the mean value and changes in cerebral blood flow between each emotion. Then, we tried to apply classification models to automatically detect suppressed emotions. Results showed that our models could correctly detect the suppressed emotions over 70% accuracies. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | emotional suppression / Functional Near-Infrared Spectroscopy (fNIRS) / classification models / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 219, MBE2017-35, pp. 5-10, Sept. 2017. | |
| Paper # | MBE2017-35 | |
| Date of Issue | 2017-09-16 (MBE) | |
| 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 | MBE2017-35 |
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| Conference Information | |
| Committee | MBE |
| Conference Date | 2017-09-23 - 2017-09-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | National Institute of Technology, Nagano College |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, general |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2017-09-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detecting Emotional Suppression in the Presence of Disgust by Time Series Change of Cerebral Blood Flow using fNIRS |
| Sub Title (in English) | |
| Keyword(1) | emotional suppression |
| Keyword(2) | Functional Near-Infrared Spectroscopy (fNIRS) |
| Keyword(3) | classification models |
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| 1st Author's Name | Masahiro Honda |
| 1st Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 2nd Author's Name | Hiroki Tanaka |
| 2nd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 3rd Author's Name | Sakriani Sakti |
| 3rd Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
| 4th Author's Name | Satoshi Nakamura |
| 4th Author's Affiliation | Nara Institute of Science and Technology (NAIST) |
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| Speaker | Author-1 |
| Date Time | 2017-09-23 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2017-35 |
| Volume (vol) | vol.117 |
| Number (no) | no.219 |
| Page | pp.5-10 |
| #Pages | 6 |
| Date of Issue | 2017-09-16 (MBE) |
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