Paper Abstract and Keywords |
Presentation |
2018-03-14 10:05
Improvement of Spaito-Temporal Situation Recognition Using Staff's Behavior Logs Shun Hayakashi, Kunihiko Hiraishi, Naoshi Uchihira (JAIST) MSS2017-90 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, assist technologies for work staff using ICT devices is expected to be introduced into various real fields. In the previous research, the technology to recognize the work situation using behavior logs of multiple caregivers is proposed, and this technology contributes to abnormality detection. But, this technology is not sufficiently verified because the amount of experiment data was small. In addition, the estimation accuracy of work contents is low because the work contents had to be estimated only from the main work place and work time zone. Therefore, in the proposal research, we aim to verify and improve the effect of previous method. In addition, regarding the experiment data, we verify whether more accurate estimation of care contents is possible by using information other than work place and work time. As means for achieving the above objectives, regarding verification and improvement of the effect of previous method, we use discrete event simulator that generates behavior logs of work staff. Regarding verifying whether more accurate estimation of care contents, we use the caregiver’s tweet data as information other than work place and work time. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Feature Extraction / Situation Awareness / Voice Tweet / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 506, MSS2017-90, pp. 67-72, March 2018. |
Paper # |
MSS2017-90 |
Date of Issue |
2018-03-05 (MSS) |
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) |
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MSS2017-90 |
Conference Information |
Committee |
MSS NLP |
Conference Date |
2018-03-12 - 2018-03-14 |
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(See Japanese page) |
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Paper Information |
Registration To |
MSS |
Conference Code |
2018-03-MSS-NLP |
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Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Improvement of Spaito-Temporal Situation Recognition Using Staff's Behavior Logs |
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Feature Extraction |
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Situation Awareness |
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Voice Tweet |
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1st Author's Name |
Shun Hayakashi |
1st Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
2nd Author's Name |
Kunihiko Hiraishi |
2nd Author's Affiliation |
Japan Advanced Institute of Science and Technology (JAIST) |
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Naoshi Uchihira |
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Japan Advanced Institute of Science and Technology (JAIST) |
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Speaker |
Author-1 |
Date Time |
2018-03-14 10:05:00 |
Presentation Time |
25 minutes |
Registration for |
MSS |
Paper # |
MSS2017-90 |
Volume (vol) |
vol.117 |
Number (no) |
no.506 |
Page |
pp.67-72 |
#Pages |
6 |
Date of Issue |
2018-03-05 (MSS) |
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