| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2024-10-19 15:25 Detection and analysis of breathing during sign language interaction using MoCap data Shinji Sako, Kentaro Kasama (NITech)  WIT2024-8 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The objective of this study was to investigate a method for estimating the state of breathing during sign language, which is considered to be related to the temporal structure (rhythm) of sign language, from motion-capture data of sign language. It is challenging to obtain accurate measurements of motion capture data without inadvertently influencing the sign language itself. In this study, we sought to determine whether it is feasible to quantify the respiratory state by analysing the changes in chest expansion from three-dimensional motion data of signed gestures that have been precisely measured. We estimated respiration using three-dimensional data from an existing sign language database (KoSign) and validated the results. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Japanese Sign Language / breathing / 3-D motion data / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 124, no. 220, WIT2024-8, pp. 17-20, Oct. 2024. | |
| Paper # | WIT2024-8 | |
| Date of Issue | 2024-10-12 (WIT) | |
| 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 | WIT2024-8 |
|
| Conference Information | |
| Committee | WIT |
| Conference Date | 2024-10-19 - 2024-10-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Teikyo University Utsunomiya Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | WIT |
| Conference Code | 2024-10-WIT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection and analysis of breathing during sign language interaction using MoCap data |
| Sub Title (in English) | |
| Keyword(1) | Japanese Sign Language |
| Keyword(2) | breathing |
| Keyword(3) | 3-D motion data |
| Keyword(4) | |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shinji Sako |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Kentaro Kasama |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 3rd Author's Name | |
| 3rd Author's Affiliation | () |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2024-10-19 15:25:00 |
| Presentation Time | 25 minutes |
| Registration for | WIT |
| Paper # | WIT2024-8 |
| Volume (vol) | vol.124 |
| Number (no) | no.220 |
| Page | pp.17-20 |
| #Pages | 4 |
| Date of Issue | 2024-10-12 (WIT) |
[Return to Top Page]