Paper Abstract and Keywords |
Presentation |
2015-01-22 11:10
Drinking State Recognition Using Sensor Data of Mobile Devices Kouyou Otokozawa, Shun Hattori (Muroran Inst. of Tech.) IN2014-100 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have many opportunities to drink alcohol, but it is accompanied by various risks. These risks can be avoided to some extent by getting to know about our current amount of drinking and being aware by ourselves
that it is dangerous for us to drink any more. Drinking Amount Recognition and Drinking State Recognition are used to avoid these risks. However, most of conventional Drinking State Recognition systems require users, who are in an unordinary state that they are drunk and paralyzed on their brain, to do their voluntary actions such as breathing and manually inputting about their drinking. Therefore, this paper proposes a novel Drinking State Recognition system that watches for such users and protects their safety from damages by alcohol. The system does not require them to do their voluntary actions, but observes sensor (especially accelerometer and microphone) data of mobile devices, recognizes their particular symptoms when drunk, and then alerts their family, police, and/or their surrounding people. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Drinking / Sensor Data / Context-Awareness / Mobile Devices / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 114, no. 401, IN2014-100, pp. 13-18, Jan. 2015. |
Paper # |
IN2014-100 |
Date of Issue |
2015-01-15 (IN) |
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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IN2014-100 |
Conference Information |
Committee |
IN |
Conference Date |
2015-01-22 - 2015-01-23 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nagoya International Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Contents Delivery/Contents Exchange, Social Networking Service (SNS), Data Analysis/Processing Platform, Big Data, etc. |
Paper Information |
Registration To |
IN |
Conference Code |
2015-01-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Drinking State Recognition Using Sensor Data of Mobile Devices |
Sub Title (in English) |
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Drinking |
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Sensor Data |
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Context-Awareness |
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Mobile Devices |
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1st Author's Name |
Kouyou Otokozawa |
1st Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
2nd Author's Name |
Shun Hattori |
2nd Author's Affiliation |
Muroran Institute of Technology (Muroran Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2015-01-22 11:10:00 |
Presentation Time |
25 minutes |
Registration for |
IN |
Paper # |
IN2014-100 |
Volume (vol) |
vol.114 |
Number (no) |
no.401 |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2015-01-15 (IN) |
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