| Paper Abstract and Keywords |
| Presentation |
2024-03-15 09:55
Evaluating Recognition AI and Personal Memories Using Time-Series Images in Daily Activities Raiki Saito, Chen Sinan, Nakamura Masahide (Kobe Univ.), Saiki Sachio (Kochi Univ. of Tech.) KBSE2023-82 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Japan is facing the challenge of an aging society with a significant increase in the number of dementia patients, making it an urgent social issue.
According to the Ministry of Health, Labour and Welfare, it is estimated that by 2040, the population of elderly individuals aged 65 and above will reach 35.3% of the total population, with over 7 million of them being dementia patients.
Against this backdrop, measures for dementia prevention and support for elderly dementia patients are deemed necessary.
Memory impairment is one of the core symptoms of dementia, and current strategies include recording and presenting information by caregivers and using memory aid tools such as notepads for rehabilitation.
However, these methods have their limitations, prompting the need for new memory aid techniques that reduce caregiver burden and are sustainable for dementia patients.
Therefore, recording daily activities and preserving them as documents is proposed as a method for memory assistance.
This study aims to verify the effectiveness of this technique by setting evaluation criteria, conducting self-recordings of daily activities, creating explanatory texts by multiple individuals, and subjectively evaluating texts generated by recognition AI.
Based on the results, the study examines the extent to which the texts generated by recognition AI are useful for memory assistance and provides insights accordingly. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Image Recognition AI / Dementia / Memory Disorders / Web Services / Wearable Camera / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 443, KBSE2023-82, pp. 90-95, March 2024. |
| Paper # |
KBSE2023-82 |
| Date of Issue |
2024-03-07 (KBSE) |
| 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 |
KBSE2023-82 |
| Conference Information |
| Committee |
KBSE |
| Conference Date |
2024-03-14 - 2024-03-15 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa Prefectual General Welfare Center |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
KBSE |
| Conference Code |
2024-03-KBSE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Evaluating Recognition AI and Personal Memories Using Time-Series Images in Daily Activities |
| Sub Title (in English) |
|
| Keyword(1) |
Image Recognition AI |
| Keyword(2) |
Dementia |
| Keyword(3) |
Memory Disorders |
| Keyword(4) |
Web Services |
| Keyword(5) |
Wearable Camera |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Raiki Saito |
| 1st Author's Affiliation |
Kobe University (Kobe Univ.) |
| 2nd Author's Name |
Chen Sinan |
| 2nd Author's Affiliation |
Kobe University (Kobe Univ.) |
| 3rd Author's Name |
Nakamura Masahide |
| 3rd Author's Affiliation |
Kobe University (Kobe Univ.) |
| 4th Author's Name |
Saiki Sachio |
| 4th Author's Affiliation |
Kochi University of Technology (Kochi Univ. of Tech.) |
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| Speaker |
Author-1 |
| Date Time |
2024-03-15 09:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
KBSE |
| Paper # |
KBSE2023-82 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.443 |
| Page |
pp.90-95 |
| #Pages |
6 |
| Date of Issue |
2024-03-07 (KBSE) |