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| Presentation | 2019-03-05 13:10 Segmentation of Hand for Sign Language Recognition using OpenPose Katsuya Narumi (KAIT), Kenta Asakura (UEC), Kazuki Sakamoto, Tatsunori Ozawa, Hiroshi Tanaka, Yuusuke Kawakita (KAIT)  ASN2018-109 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Communication support equipment such as sign language interpreters and handwriting instruments are necessary for communication between the hearing impaired and among them there is a research that automatically recognizes sign language from the video. In the research, there is a method of identifying sign language by dividing the region of the left hand and the right hand, but consideration to automatically divide the region has not been conducted. The purpose of this research is to divide the right hand region and the left hand region of the image of the person. We tried to automate that area division. Using OpenPose which is a machine learning model to estimate the position of feature points in the human body such as joint position, it was found that it is possible to automatically divide the right hand region and the left hand region. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Sign Language Recognition, / Segmentation of Hand / Skeletal Tracking / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 468, ASN2018-109, pp. 165-168, March 2019. | |
| Paper # | ASN2018-109 | |
| Date of Issue | 2019-02-25 (ASN) | |
| ISSN | 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 | ASN2018-109 |
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| Conference Information | |
| Committee | ASN MoNA IPSJ-MBL IPSJ-UBI |
| Conference Date | 2019-03-04 - 2019-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | The University of Tokyo, Komaba Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | ASN |
| Conference Code | 2019-03-ASN-MoNA-MBL-UBI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Segmentation of Hand for Sign Language Recognition using OpenPose |
| Sub Title (in English) | |
| Keyword(1) | Sign Language Recognition, |
| Keyword(2) | Segmentation of Hand |
| Keyword(3) | Skeletal Tracking |
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| 1st Author's Name | Katsuya Narumi |
| 1st Author's Affiliation | Knagawa Institute Technology (KAIT) |
| 2nd Author's Name | Kenta Asakura |
| 2nd Author's Affiliation | University of Electro-Communications (UEC) |
| 3rd Author's Name | Kazuki Sakamoto |
| 3rd Author's Affiliation | Knagawa Institute Technology (KAIT) |
| 4th Author's Name | Tatsunori Ozawa |
| 4th Author's Affiliation | Knagawa Institute Technology (KAIT) |
| 5th Author's Name | Hiroshi Tanaka |
| 5th Author's Affiliation | Knagawa Institute Technology (KAIT) |
| 6th Author's Name | Yuusuke Kawakita |
| 6th Author's Affiliation | Knagawa Institute Technology (KAIT) |
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| Speaker | Author-1 |
| Date Time | 2019-03-05 13:10:00 |
| Presentation Time | 25 minutes |
| Registration for | ASN |
| Paper # | ASN2018-109 |
| Volume (vol) | vol.118 |
| Number (no) | no.468 |
| Page | pp.165-168 |
| #Pages | 4 |
| Date of Issue | 2019-02-25 (ASN) |
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