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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)
Download PDF 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)  
Keyword(1) Drinking  
Keyword(2) Sensor Data  
Keyword(3) Context-Awareness  
Keyword(4) 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
Date of Issue 2015-01-15 (IN) 


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