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Paper Abstract and Keywords
Presentation 2009-11-19 15:15
The measurement of the detecting the sound signals in the human body for prediction of sleep in sleep-wake state (The 2nd report)
Masanori Akita, Yoichi Midorikawa, Tatsuya Kanechika, Masakazu Sakaguchi (Oita Univ.) EA2009-80
Abstract (in Japanese) (See Japanese page) 
(in English) In recent, several examinations are done to detect sleepiness for the safety of the driving car or other industry machines. For detecting some cues of the fatigue of the human body or sleepiness, brain waves and the finger plethysmogram are often used which express the flow of the brood. The sensors detecting the movement of the body are also used. However, the systems using these parameters are fairly large and complicated. And further experiments are required for the precise detection of the sleepiness. We tried to measure the sounds in the human body for detecting the sleepiness in previous report. In this experiment, NAM microphone system is used for measuring the sounds. The signals are analyzed into the cepstral coefficients and the feature parameters are defined using these coefficients. The feature parameters are compared with the signals obtained from the piezoelectric sensors, which is effective to detect the sleep in sleep-wake state. Relationship between the time variations of the feature parameters and sleepiness are reported. But the measuring experiments are limited and the results are ambiguous. In this report, the measuring experiments of the human body are done 9 times using 3 examinees. The measuring points of the sounds in human body are changed and the usage of cepstral parameters constructing the features parameters of the sounds in human body is also changed. Experimental results are described in this report.
Keyword (in Japanese) (See Japanese page) 
(in English) Prediction of sleep in sleep-wake state / NAM microphone / Piezoelectric sensor / Cepstrum / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 286, EA2009-80, pp. 25-30, Nov. 2009.
Paper # EA2009-80 
Date of Issue 2009-11-12 (EA) 
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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Conference Information
Committee EA  
Conference Date 2009-11-19 - 2009-11-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EA 
Conference Code 2009-11-EA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The measurement of the detecting the sound signals in the human body for prediction of sleep in sleep-wake state (The 2nd report) 
Sub Title (in English)  
Keyword(1) Prediction of sleep in sleep-wake state  
Keyword(2) NAM microphone  
Keyword(3) Piezoelectric sensor  
Keyword(4) Cepstrum  
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Keyword(8)  
1st Author's Name Masanori Akita  
1st Author's Affiliation Oita University (Oita Univ.)
2nd Author's Name Yoichi Midorikawa  
2nd Author's Affiliation Oita University (Oita Univ.)
3rd Author's Name Tatsuya Kanechika  
3rd Author's Affiliation Oita University (Oita Univ.)
4th Author's Name Masakazu Sakaguchi  
4th Author's Affiliation Oita University (Oita Univ.)
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Speaker Author-1 
Date Time 2009-11-19 15:15:00 
Presentation Time 30 minutes 
Registration for EA 
Paper # EA2009-80 
Volume (vol) vol.109 
Number (no) no.286 
Page pp.25-30 
#Pages 6 
Date of Issue 2009-11-12 (EA) 

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