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Paper Abstract and Keywords
Presentation 2024-06-18 10:55
Development and evaluation of form analysis sensing system with self-learning function for track and field events
Nami Shimizu, Hideaki Miyaji, Hiroshi Yamamoto (Ritsumeikan) IA2024-10 ICSS2024-10
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, many studies have been conducted in various sporting events to analyze data acquired from sensors and cameras, and to utilize the data for judging and scoring violations by referees. However, in track and field ”race walking,” form is judged visually by referees. Therefore, it is difficult for those who are not familiar with race walking or athletes who have just started race walking to know whether there is an infraction or not, and it is difficult for them to tackle the sport without an instructor. The number of people who can instruct the race walking is limited because there are only several thousand people who play race walking. It is necessary to develop a system to judge whether their walking form is a race walking or not even in the absence of an instructor. In this study, a small sensor that does not interfere with the athlete’s movement is attached, and a sensing system that judges whether the athlete’s form is a race walking or not based on the sensor data is developed. In the proposed system, a machine learning model is constructed to estimate the state of form from the acquired sensor data. The system will also automatically generate the training data for building the machine learning model by linking the results of accurate estimation of the athlete’s posture using techniques such as skeletal estimation and the data measured by the sensors.
Keyword (in Japanese) (See Japanese page) 
(in English) IoT / race walking / machine learning / pose estimation / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 82, IA2024-10, pp. 55-60, June 2024.
Paper # IA2024-10 
Date of Issue 2024-06-10 (IA, ICSS) 
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 IA2024-10 ICSS2024-10

Conference Information
Committee IA ICSS  
Conference Date 2024-06-17 - 2024-06-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Okayama University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Security, etc. 
Paper Information
Registration To IA 
Conference Code 2024-06-IA-ICSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development and evaluation of form analysis sensing system with self-learning function for track and field events 
Sub Title (in English)  
Keyword(1) IoT  
Keyword(2) race walking  
Keyword(3) machine learning  
Keyword(4) pose estimation  
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1st Author's Name Nami Shimizu  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan)
2nd Author's Name Hideaki Miyaji  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan)
3rd Author's Name Hiroshi Yamamoto  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan)
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Speaker Author-1 
Date Time 2024-06-18 10:55:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2024-10, ICSS2024-10 
Volume (vol) vol.124 
Number (no) no.82(IA), no.83(ICSS) 
Page pp.55-60 
#Pages 6 
Date of Issue 2024-06-10 (IA, ICSS) 

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