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| Presentation | 2017-02-19 11:20 [Poster Presentation] Online algorithm of swallowing detection using close-range depth sensor Tsubasa Takai, Tomoya Sakai, Misako Higashijima (Nagasaki Univ)  PRMU2016-183 CNR2016-50 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We are developing an online algorithm of detecting and counting swallowing motions from a depth image sequence for contactless swallowing function evaluation based on the repetitive saliva swallowing test (RSST). Our algorithm firstly finds a face region and cuts out a neck region from each frame of a close-range depth image sequence. During the estimation of the principal components of the neck depth images, outliers are indentified as the swallowing motions. The inliers are used for the updates of the principal components by the incremental SVD, in which a forgetting factor weights the relative contribution of the new depth images for adaptive detection of the outliers. The computational cost due to a large number of pixels can be reduced by random projection to meet real-time processing requirements. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | outlier detection / incremental singular value decomposition / random projection / close-range depth sensor / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 461, PRMU2016-183, pp. 163-164, Feb. 2017. | |
| Paper # | PRMU2016-183 | |
| Date of Issue | 2017-02-11 (PRMU, CNR) | |
| 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 | PRMU2016-183 CNR2016-50 |
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| Conference Information | |
| Committee | PRMU CNR |
| Conference Date | 2017-02-18 - 2017-02-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2017-02-PRMU-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Online algorithm of swallowing detection using close-range depth sensor |
| Sub Title (in English) | |
| Keyword(1) | outlier detection |
| Keyword(2) | incremental singular value decomposition |
| Keyword(3) | random projection |
| Keyword(4) | close-range depth sensor |
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| 1st Author's Name | Tsubasa Takai |
| 1st Author's Affiliation | Nagasaki University (Nagasaki Univ) |
| 2nd Author's Name | Tomoya Sakai |
| 2nd Author's Affiliation | Nagasaki University (Nagasaki Univ) |
| 3rd Author's Name | Misako Higashijima |
| 3rd Author's Affiliation | Nagasaki University (Nagasaki Univ) |
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| Speaker | Author-1 |
| Date Time | 2017-02-19 11:20:00 |
| Presentation Time | 40 minutes |
| Registration for | PRMU |
| Paper # | PRMU2016-183, CNR2016-50 |
| Volume (vol) | vol.116 |
| Number (no) | no.461(PRMU), no.462(CNR) |
| Page | pp.163-164 |
| #Pages | 2 |
| Date of Issue | 2017-02-11 (PRMU, CNR) |
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