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| Presentation | 2017-03-02 10:45 Biosignal based anomaly detection for daily life Keita Hasegawa, Kudo Fumiaki, Toru Nakamura, Yukiyoshi Ota (NTT)  LOIS2016-67 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | As a cause of stress, many incidents have occurred such as Traffic Accidents, Medical Accidents and Billing fraud. Strong stress is well known to inhibit normal or appropriate ability of decision or operation. Therefore, we aim to prevent expand affection of incidents by anomaly detection of stress using a biosignal and behavioral information. From previous study, following results have shown that biological reactions appear in variability of ECG (Electrocardiogram) or blood pressure with alternation of excitability of the autonomic nervous system due to stress. However, it is much hard to define abnormal stress pattern in many cases in person each and every. Moreover, biosignal and behavioral information have large distribution between subjects. From these reason, our approach is not signature based detection but anomaly detection with definition of normal pattern of stress for each person. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Biosignal / ECG / Internet of Thing / Anomaly detection / MSPC / Deep Leaning / Stress / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 488, LOIS2016-67, pp. 29-34, March 2017. | |
| Paper # | LOIS2016-67 | |
| Date of Issue | 2017-02-23 (LOIS) | |
| 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 | LOIS2016-67 |
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| Conference Information | |
| Committee | LOIS |
| Conference Date | 2017-03-02 - 2017-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | N.Ohama Memorial Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Nobumoto Ohama Memorial Hall |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2017-03-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Biosignal based anomaly detection for daily life |
| Sub Title (in English) | |
| Keyword(1) | Biosignal |
| Keyword(2) | ECG |
| Keyword(3) | Internet of Thing |
| Keyword(4) | Anomaly detection |
| Keyword(5) | MSPC |
| Keyword(6) | Deep Leaning |
| Keyword(7) | Stress |
| Keyword(8) | |
| 1st Author's Name | Keita Hasegawa |
| 1st Author's Affiliation | NTTNippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Kudo Fumiaki |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Toru Nakamura |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name | Yukiyoshi Ota |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2017-03-02 10:45:00 |
| Presentation Time | 20 minutes |
| Registration for | LOIS |
| Paper # | LOIS2016-67 |
| Volume (vol) | vol.116 |
| Number (no) | no.488 |
| Page | pp.29-34 |
| #Pages | 6 |
| Date of Issue | 2017-02-23 (LOIS) |
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