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Paper Abstract and Keywords
Presentation 2026-05-14 13:30
[Poster Presentation] Indoor Human Trajectory Tracking by Wi-Fi Sensing Integrating Machine Learning and Radio Feature Extraction
Akira Kagawa, Hiroyuki Yomo (Kansai Univ.), Yoshihisa Kondo (ATR), Hiroki Takushima, Manoj Kumar Aiswariya, Daichi Yamaga, Fumika Beppu, Takayuki Hori (SoftBank) SeMI2026-4
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we study indoor human tracking using Wi-Fi sensing. The approach employing machine learning (ML) model, e.g., Transformer, achieves accurate estimation, however, its accuracy is largely degraded when it is applied to different environments from training. On the other hand, an approach employing advanced signal processing (SP), which geometrically estimates human trajectory based on AoA (Angle of Arrival), ToF (Time of Flight), and DFS (Doppler Frequency Shift) extracted from the received Wi-Fi signal, has been also proposed. However, it is hard to precisely estimate these radio features from the weak reflecting signal. This paper suggests integrating these 2 approaches, and proposes a Transformer model employing AoA, ToF, and DFS together with channel state information (CSI) as its input. With experimental results, we investigate the generalization capability of the proposed integrated approach.
Keyword (in Japanese) (See Japanese page) 
(in English) Wi-Fi Sensing / Indoor Human Tracking / Passive Sensing / Machine Learning / AoA / ToF / Doppler Shift /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 15, SeMI2026-4, pp. 19-24, May 2026.
Paper # SeMI2026-4 
Date of Issue 2026-05-07 (SeMI) 
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)
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Conference Information
Committee SeMI IPSJ-MBL IPSJ-ITS IPSJ-DPS  
Conference Date 2026-05-13 - 2026-05-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2026-05-SeMI-MBL-ITS-DPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Indoor Human Trajectory Tracking by Wi-Fi Sensing Integrating Machine Learning and Radio Feature Extraction 
Sub Title (in English)  
Keyword(1) Wi-Fi Sensing  
Keyword(2) Indoor Human Tracking  
Keyword(3) Passive Sensing  
Keyword(4) Machine Learning  
Keyword(5) AoA  
Keyword(6) ToF  
Keyword(7) Doppler Shift  
Keyword(8)  
1st Author's Name Akira Kagawa  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Hiroyuki Yomo  
2nd Author's Affiliation Kansai University (Kansai Univ.)
3rd Author's Name Yoshihisa Kondo  
3rd Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
4th Author's Name Hiroki Takushima  
4th Author's Affiliation SoftBank Corp. (SoftBank)
5th Author's Name Manoj Kumar Aiswariya  
5th Author's Affiliation SoftBank Corp. (SoftBank)
6th Author's Name Daichi Yamaga  
6th Author's Affiliation SoftBank Corp. (SoftBank)
7th Author's Name Fumika Beppu  
7th Author's Affiliation SoftBank Corp. (SoftBank)
8th Author's Name Takayuki Hori  
8th Author's Affiliation SoftBank Corp. (SoftBank)
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Speaker Author-2 
Date Time 2026-05-14 13:30:00 
Presentation Time 60 minutes 
Registration for SeMI 
Paper # SeMI2026-4 
Volume (vol) vol.126 
Number (no) no.15 
Page pp.19-24 
#Pages 6 
Date of Issue 2026-05-07 (SeMI) 

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