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Paper Abstract and Keywords
Presentation 2023-06-17 15:20
Improved Visual Intentions Estimation Model Using Depth Information and Object Detection
Sho Higa, Masakiyo Okuhama, Koji Yamada (Ryukyu Univ.), Shihoko Kamisato (NIT,Okinawa College) WIT2023-17
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we propose an improved visual intention estimation model based on object detection to distinguish eye and head movements during looking away, paying attention and checking the environment. The proposed model consists of a 1DCNN-LSTM and takes as input "looking object" and "distance to object" in addition to time series data of eye and head movements. Comparison experiments on estimation accuracy showed that the F-measure of the proposed model tended to be higher than that of the traditional model, suggesting that feature vectors such as "looking object" and "distance to object" contribute to the improvement of estimation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) visual intentions / intention recognition / electric wheelchair / one-dimensional convolutional neural network / long short-term memory / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 81, WIT2023-17, pp. 76-77, June 2023.
Paper # WIT2023-17 
Date of Issue 2023-06-09 (WIT) 
ISSN 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 WIT2023-17

Conference Information
Committee WIT  
Conference Date 2023-06-16 - 2023-06-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To WIT 
Conference Code 2023-06-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improved Visual Intentions Estimation Model Using Depth Information and Object Detection 
Sub Title (in English)  
Keyword(1) visual intentions  
Keyword(2) intention recognition  
Keyword(3) electric wheelchair  
Keyword(4) one-dimensional convolutional neural network  
Keyword(5) long short-term memory  
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1st Author's Name Sho Higa  
1st Author's Affiliation University of the Ryukyus (Ryukyu Univ.)
2nd Author's Name Masakiyo Okuhama  
2nd Author's Affiliation University of the Ryukyus (Ryukyu Univ.)
3rd Author's Name Koji Yamada  
3rd Author's Affiliation University of the Ryukyus (Ryukyu Univ.)
4th Author's Name Shihoko Kamisato  
4th Author's Affiliation National Institute of Technology, Okinawa College (NIT,Okinawa College)
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Speaker Author-1 
Date Time 2023-06-17 15:20:00 
Presentation Time 25 minutes 
Registration for WIT 
Paper # WIT2023-17 
Volume (vol) vol.123 
Number (no) no.81 
Page pp.76-77 
#Pages 2 
Date of Issue 2023-06-09 (WIT) 

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