Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2026-01-29 17:50
Predicting Visual Attention from EEG Using a CNN-LSTM with the Attention Mechanism
Cheng Hao, Ryosuke Hosaka (Shibaura IT) NLP2025-114 MBE2025-54 NC2025-76
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, research employing deep learning for EEG analysis has increased,
and the estimation of visual attention has gained significance in cognitive science.
However, EEG data suffers from substantial noise and individual variability, making feature extraction challenging
with conventional methods.
Therefore, this study predicts visual attention from EEG using a model incorporating an attention mechanism into a
CNN–LSTM framework
The CNN extracts spatial characteristics such as the distribution of brain region activity, the LSTM learns tempora
l dependencies, and the attention mechanism emphasises important spatio-temporal features.
This approach aims to address EEG complexity and improve estimation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) EEG / Visual attention / Timeseries analysis / Deep learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 344, NLP2025-114, pp. 133-138, Jan. 2026.
Paper # NLP2025-114 
Date of Issue 2026-01-21 (NLP, MBE, NC) 
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 NLP2025-114 MBE2025-54 NC2025-76

Conference Information
Committee NC MBE NLP IEE-MBE  
Conference Date 2026-01-28 - 2026-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Institute of Technology, Wakamatsu Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NC, NLP, ME, etc. 
Paper Information
Registration To NLP 
Conference Code 2026-01-NC-MBE-NLP-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Predicting Visual Attention from EEG Using a CNN-LSTM with the Attention Mechanism 
Sub Title (in English)  
Keyword(1) EEG  
Keyword(2) Visual attention  
Keyword(3) Timeseries analysis  
Keyword(4) Deep learning  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Cheng Hao  
1st Author's Affiliation Shibaura Institute of Technology (Shibaura IT)
2nd Author's Name Ryosuke Hosaka  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura IT)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2026-01-29 17:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2025-114, MBE2025-54, NC2025-76 
Volume (vol) vol.125 
Number (no) no.344(NLP), no.345(MBE), no.346(NC) 
Page pp.133-138 
#Pages 6 
Date of Issue 2026-01-21 (NLP, MBE, NC) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan