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Paper Abstract and Keywords
Presentation 2017-02-21 13:30
The study of how to predict suture surgeries' six steps based on the operators' hand actions in video sequences
Miwa Tsubota, Li Ye, Jun Ohya (Waseda Univ.) ITS2016-54 IE2016-112
Abstract (in Japanese) (See Japanese page) 
(in English) To alleviate the recent shortage problem of nurses and increase the efficiency of surgery, RSN (Robotic Scrub Nurse) that can autonomously judge the current step of the surgery and pass the surgical instruments needed for the next step to surgeons is expected. The authors developed an image processing based algorithm that can early recognize only 2 steps of suture surgery before. Based on the past work, this paper proposed an expanded algorithm that can early recognize all 6 steps of suture surgery. The proposed algorithm consists of 2 modules, quasi-start point detection and action early-recognition. The segments of test video that start from each quasi-start point are compared with the training data and their probabilities are calculated. According to the calculated probabilities, actions could be early-recognized. Experimental results show the proposed method achieves a good performance.
Keyword (in Japanese) (See Japanese page) 
(in English) RSN / suture surgery / image processing / early recognition / subaction / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 464, IE2016-112, pp. 257-262, Feb. 2017.
Paper # IE2016-112 
Date of Issue 2017-02-13 (ITS, IE) 
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 ITS2016-54 IE2016-112

Conference Information
Committee IE ITS ITE-AIT ITE-HI ITE-ME ITE-MMS ITE-CE  
Conference Date 2017-02-20 - 2017-02-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2017-02-IE-ITS-AIT-HI-ME-MMS-CE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The study of how to predict suture surgeries' six steps based on the operators' hand actions in video sequences 
Sub Title (in English)  
Keyword(1) RSN  
Keyword(2) suture surgery  
Keyword(3) image processing  
Keyword(4) early recognition  
Keyword(5) subaction  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Miwa Tsubota  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Li Ye  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Jun Ohya  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2017-02-21 13:30:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2016-54, IE2016-112 
Volume (vol) vol.116 
Number (no) no.463(ITS), no.464(IE) 
Page pp.257-262 
#Pages 6 
Date of Issue 2017-02-13 (ITS, IE) 

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