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| Presentation | 2018-11-03 15:00 Automatic clustering using unsupervised life sound learning of elderly Yuta Tanaka, Naoyuki Mizuno, Hiroyuki Nishi, Yoshimasa Kimura (Sojo Univ.)  ISEC2018-70 SITE2018-48 LOIS2018-30 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Although it is important to watch the elderly non-contactly and non invasively by AI, it requires a huge amount of supervised data, the elderly life sound data is scarce and a huge amount of work is required to give labels , Unrealistic. Therefore, in this research, we will consider a method of automatically classifying (clustering) recorded life sound. In particular, we propose a method of cluster consolidation by automatic clustering of the living sound and verifying the difference between the average value and the standard deviation from the past cluster against the clustering result. In order to confirm the effectiveness of the test of the difference between the mean value and the standard deviation, experiments were carried out using three categories of continuous sound data, and the threshold value when the F value was the highest was found to be 4 , It was found that the F value becomes the maximum value 0.76392. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Elderly people / Observation / Life sound / Clustering / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 281, LOIS2018-30, pp. 35-38, Nov. 2018. | |
| Paper # | LOIS2018-30 | |
| Date of Issue | 2018-10-27 (ISEC, SITE, 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 | ISEC2018-70 SITE2018-48 LOIS2018-30 |
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| Conference Information | |
| Committee | SITE ISEC LOIS |
| Conference Date | 2018-11-03 - 2018-11-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2018-11-SITE-ISEC-LOIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Automatic clustering using unsupervised life sound learning of elderly |
| Sub Title (in English) | |
| Keyword(1) | Elderly people |
| Keyword(2) | Observation |
| Keyword(3) | Life sound |
| Keyword(4) | Clustering |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Yuta Tanaka |
| 1st Author's Affiliation | Sojo University (Sojo Univ.) |
| 2nd Author's Name | Naoyuki Mizuno |
| 2nd Author's Affiliation | Sojo University (Sojo Univ.) |
| 3rd Author's Name | Hiroyuki Nishi |
| 3rd Author's Affiliation | Sojo University (Sojo Univ.) |
| 4th Author's Name | Yoshimasa Kimura |
| 4th Author's Affiliation | Sojo University (Sojo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-11-03 15:00:00 |
| Presentation Time | 30 minutes |
| Registration for | LOIS |
| Paper # | ISEC2018-70, SITE2018-48, LOIS2018-30 |
| Volume (vol) | vol.118 |
| Number (no) | no.279(ISEC), no.280(SITE), no.281(LOIS) |
| Page | pp.35-38 |
| #Pages | 4 |
| Date of Issue | 2018-10-27 (ISEC, SITE, LOIS) |
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