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Paper Abstract and Keywords
Presentation 2017-03-13 13:35
An Investigation of the EEG Noise Removal from Measurement Data During the Real Vehicle Driving by Using Morphological Component Analysis
Mayu Ichiki, Balbir Singh, Guangyi Ai (KIT), Hiroaki Wagatsuma (KIT/RIKEN/AIST) NC2016-69
Abstract (in Japanese) (See Japanese page) 
(in English) In the accident survey, a commonly reported consequence is the risk of usage of smart devices and cellphones in teen driving and the severe confusion by elderly drivers. It requires the accurate monitoring of the driver's status including mental workloads to prevent fatal and injury accidents. A possible measurement method with a high temporal resolution is electroencephalography (EEG), while the noise removal such as muscular potentials and vehicle vibrations is an inevitable issue to estimate the true workload. In the present study, we investigated the tendency of the EEG noise contamination in driving and validated the performance of the Morphological Component Analysis (MCA) when applying to the measurement data in real vehicle driving.
Keyword (in Japanese) (See Japanese page) 
(in English) EEG measurement / Morphological Component Analysis / Frequency spectrum / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 521, NC2016-69, pp. 31-36, March 2017.
Paper # NC2016-69 
Date of Issue 2017-03-06 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 NC2016-69

Conference Information
Committee MBE NC  
Conference Date 2017-03-13 - 2017-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2017-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Investigation of the EEG Noise Removal from Measurement Data During the Real Vehicle Driving by Using Morphological Component Analysis 
Sub Title (in English)  
Keyword(1) EEG measurement  
Keyword(2) Morphological Component Analysis  
Keyword(3) Frequency spectrum  
1st Author's Name Mayu Ichiki  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
2nd Author's Name Balbir Singh  
2nd Author's Affiliation Kyushu Institute of Technology (KIT)
3rd Author's Name Guangyi Ai  
3rd Author's Affiliation Kyushu Institute of Technology (KIT)
4th Author's Name Hiroaki Wagatsuma  
4th Author's Affiliation Kyushu Institute of Technology/RIKEN BSI/AIRC, AIST (KIT/RIKEN/AIST)
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Date Time 2017-03-13 13:35:00 
Presentation Time 25 
Registration for NC 
Paper # IEICE-NC2016-69 
Volume (vol) IEICE-116 
Number (no) no.521 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-NC-2017-03-06 

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