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 |
Copyright and reproduction |
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ICM2020-55 LOIS2020-43 |
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