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Paper Abstract and Keywords
Presentation 2021-01-22 11:25
Dementia Diagnosis System Using Ambient Sensor
Yuta Kishimoto, Kenichi Arai, Tetsuo Imai, Toru Kobayashi (Nagasaki Univ.), Teiichirou Miyazaki, Akira Tsujino (Nagasaki Univ. Hospital) ICM2020-55 LOIS2020-43
Abstract (in Japanese) (See Japanese page) 
(in English) So far we have developed dementia diagnosis system in which humanoid communication robot diagnoses dementia based on natural conversation with elderly living alone, and notifies family using SNS if elderly are suspected of having dementia. However, in order to diagnose dementia, it is necessary to evaluate behavioral changes related to "Cognitive Function Impairment" and "Living Function Impairment". In the conventional system, it was not possible to grasp "Living Function Impairment" in which cognitive deficiency impedes independence in daily activities. Therefore, in this study, for the purpose of grasping both "cognitive dysfunction" and "living dysfunction", we implemented functions to collect the behavior history of elderly by using ambient sensors, communication robots, and wearable devices. In addition, the effectiveness of this system was clarified by comparing the actual behavior history with the behavior history that can be predicted from the data acquired by this system through evaluation experiment for elderly at university hospital using this system.
Keyword (in Japanese) (See Japanese page) 
(in English) Ambient Sensor / Dementia / Cognitive Function Impairment / Living Function Impairment / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 324, LOIS2020-43, pp. 125-130, Jan. 2021.
Paper # LOIS2020-43 
Date of Issue 2021-01-14 (ICM, LOIS) 
ISSN Online edition: ISSN 2432-6380
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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 ICM LOIS  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, Business Management, etc. 
Paper Information
Registration To LOIS 
Conference Code 2021-01-ICM-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dementia Diagnosis System Using Ambient Sensor 
Sub Title (in English)  
Keyword(1) Ambient Sensor  
Keyword(2) Dementia  
Keyword(3) Cognitive Function Impairment  
Keyword(4) Living Function Impairment  
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1st Author's Name Yuta Kishimoto  
1st Author's Affiliation Nagasaki University (Nagasaki Univ.)
2nd Author's Name Kenichi Arai  
2nd Author's Affiliation Nagasaki University (Nagasaki Univ.)
3rd Author's Name Tetsuo Imai  
3rd Author's Affiliation Nagasaki University (Nagasaki Univ.)
4th Author's Name Toru Kobayashi  
4th Author's Affiliation Nagasaki University (Nagasaki Univ.)
5th Author's Name Teiichirou Miyazaki  
5th Author's Affiliation Department of Neurology and Strokology, Nagasaki University Hospital (Nagasaki Univ. Hospital)
6th Author's Name Akira Tsujino  
6th Author's Affiliation Department of Neurology and Strokology, Nagasaki University Hospital (Nagasaki Univ. Hospital)
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Speaker Author-1 
Date Time 2021-01-22 11:25:00 
Presentation Time 20 minutes 
Registration for LOIS 
Paper # ICM2020-55, LOIS2020-43 
Volume (vol) vol.120 
Number (no) no.323(ICM), no.324(LOIS) 
Page pp.125-130 
#Pages
Date of Issue 2021-01-14 (ICM, LOIS) 


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