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 2023-08-04 14:45
Recognizing Human-Centered Contexts for In-Home Elderly Monitoring Using Vision-Based Edge AI
Sinan Chen, Masahide Nakamura, Kiyoshi Yasuda (Kobe Univ.) LOIS2023-6
Abstract (in Japanese) (See Japanese page) 
(in English) As the global population ages, including Japan, there is a significant trend toward transitioning from facility-based care to home-based care due to the shortage of caregiving facilities and personnel. While elderly individuals may find it easier to adapt to living at home, the daily caregiving and monitoring of their activities significantly burden family caregivers. Previous studies have proposed methods such as ``mind'' sensing for elderly people based on voice dialogue systems and quality assessment of elderly individuals' in-home activities using skeleton sensing technology. However, recognizing changes in elderly individuals' facial expressions, body postures, and behaviors (called context) is essential for monitoring elderly individuals at home and has yet to be fully realized. Therefore, this study examines a situation-centric context recognition method revolving around nonverbal features. Our key idea is to integrate multiple pre-trained models based on images in an edge environment, extract human-centric features, and characterize them as context. As an approach, we integrate locally executable image recognition technologies based on multiple pre-trained models to perform human-centric context recognition from live images. Following this method, we can expect to create a home monitoring system that is easy to implement in ordinary households using a general-purpose computer and a stationary USB camera.
Keyword (in Japanese) (See Japanese page) 
(in English) Elderly monitoring / Image recognition / Edge AI / Human-centered / Context recognition / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 150, LOIS2023-6, pp. 18-22, Aug. 2023.
Paper # LOIS2023-6 
Date of Issue 2023-07-28 (LOIS) 
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 LOIS2023-6

Conference Information
Committee LOIS IPSJ-DC  
Conference Date 2023-08-04 - 2023-08-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Tachibana University, Keisei-Kan, 1-G106 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2023-08-LOIS-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recognizing Human-Centered Contexts for In-Home Elderly Monitoring Using Vision-Based Edge AI 
Sub Title (in English)  
Keyword(1) Elderly monitoring  
Keyword(2) Image recognition  
Keyword(3) Edge AI  
Keyword(4) Human-centered  
Keyword(5) Context recognition  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Sinan Chen  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Masahide Nakamura  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Kiyoshi Yasuda  
3rd Author's Affiliation Kobe University (Kobe Univ.)
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 2023-08-04 14:45:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2023-6 
Volume (vol) vol.123 
Number (no) no.150 
Page pp.18-22 
#Pages 5 
Date of Issue 2023-07-28 (LOIS) 

[Return to Top Page]

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