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Paper Abstract and Keywords
Presentation 2013-08-01 16:00
Machine Learning-based Hand Gesture Identification using Doppler Sensor
Junya Oikawa, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2013-16
Abstract (in Japanese) (See Japanese page) 
(in English) With the spread of electronic devices, the operation method for controlling the devices has been diversified. Gesture-based interface, which is a user-friendly and intuitive input operation, is also one of them. Detection of user’s gesture using a camera or an accelerometer has already been put into practice. However, they are not versatile since there are some constraints such as production cost, privacy issue and sensor’s fixing point. This study proposes a gesture identification method using multiple Doppler sensors. Concretely, hand gestures are detected by the Doppler sensors, and then each movement direction of the hand is identified. In this paper, the effectiveness of the proposed method will be stated through some experiments. In addition, the possibility of versatile use of it will be discussed.
Keyword (in Japanese) (See Japanese page) 
(in English) Doppler Sensor / Gesture Identification / Machine Learning / Artificial Neural Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 168, MoNA2013-16, pp. 19-24, Aug. 2013.
Paper # MoNA2013-16 
Date of Issue 2013-07-25 (MoNA) 
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 MoNA2013-16

Conference Information
Committee MoNA  
Conference Date 2013-08-01 - 2013-08-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile network, Mobile application, Mobile multimedia, Mobile service, etc. 
Paper Information
Registration To MoNA 
Conference Code 2013-08-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Machine Learning-based Hand Gesture Identification using Doppler Sensor 
Sub Title (in English)  
Keyword(1) Doppler Sensor  
Keyword(2) Gesture Identification  
Keyword(3) Machine Learning  
Keyword(4) Artificial Neural Network  
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Keyword(6)  
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Keyword(8)  
1st Author's Name Junya Oikawa  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
2nd Author's Name Eiji Kamioka  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
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Speaker Author-1 
Date Time 2013-08-01 16:00:00 
Presentation Time 25 minutes 
Registration for MoNA 
Paper # MoNA2013-16 
Volume (vol) vol.113 
Number (no) no.168 
Page pp.19-24 
#Pages 6 
Date of Issue 2013-07-25 (MoNA) 

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