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Paper Abstract and Keywords
Presentation 2022-10-06 14:20
A Study of Next Step Prediction Method using Smartphone IMU
Ikuto Ohki, Hidehiko Shishido, Yoshinari Kameda (U-Tsukuba) MVE2022-20
Abstract (in Japanese) (See Japanese page) 
(in English) In a walking support system for the visually impaired, if the system can predict which way the next step will be taken, it will be possible to provide more advanced and safer walking support. In this paper, we call this next step prediction. In this study, we investigate a method to realize next step prediction using an IMU on a smartphone, and discuss the possibility of next step prediction. Since it is difficult for a person to walk while holding a smartphone steadily against body, next step prediction using only an IMU is considered to be a ill-posed problem. In this study, we assume that there is a pattern in the sway of a visually impaired person's gait. In order to learn the pattern, we prepare a training dataset and aim to realize next step prediction. In this report, we use time series data consisting of smartphone IMU output and smartphone position pairs for learning. Experimental results show the accuracy of next step prediction by training on an open dataset.
Keyword (in Japanese) (See Japanese page) 
(in English) Next Step Prediction / Support for the Visually Impaired / IMU / Deep Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 200, MVE2022-20, pp. 13-17, Oct. 2022.
Paper # MVE2022-20 
Date of Issue 2022-09-29 (MVE) 
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 MVE2022-20

Conference Information
Committee MVE VRSJ-SIG-MR IPSJ-EC HI-SIGPUI VRSJ-SIG-CS  
Conference Date 2022-10-06 - 2022-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2022-10-MVE-SIG-MR-EC-SIG-DeMO-SIG-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Next Step Prediction Method using Smartphone IMU 
Sub Title (in English)  
Keyword(1) Next Step Prediction  
Keyword(2) Support for the Visually Impaired  
Keyword(3) IMU  
Keyword(4) Deep Learning  
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1st Author's Name Ikuto Ohki  
1st Author's Affiliation University of Tsukuba (U-Tsukuba)
2nd Author's Name Hidehiko Shishido  
2nd Author's Affiliation University of Tsukuba (U-Tsukuba)
3rd Author's Name Yoshinari Kameda  
3rd Author's Affiliation University of Tsukuba (U-Tsukuba)
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Speaker Author-1 
Date Time 2022-10-06 14:20:00 
Presentation Time 20 minutes 
Registration for MVE 
Paper # MVE2022-20 
Volume (vol) vol.122 
Number (no) no.200 
Page pp.13-17 
#Pages 5 
Date of Issue 2022-09-29 (MVE) 

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