2022 Fiscal Year Final Research Report
Functional Independence Measuring System Based On ADL Ontology
| Project/Area Number |
20H04289
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 62020:Web informatics and service informatics-related
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
Numao Masayuki 電気通信大学, 大学院情報理工学研究科, 教授 (90508821)
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| Co-Investigator(Kenkyū-buntansha) |
高玉 圭樹 電気通信大学, 大学院情報理工学研究科, 教授 (20345367)
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 見守りシステム / オントロジー / IoT / 日常生活行動（ADL） / 機能的自立度評価（FIM) |
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| Outline of Final Research Achievements |
The purpose of this study is to construct a monitoring system that automatically evaluates the degree of independence of motor and cognitive functions by observing daily activities and sleep conditions at night using multiple sensors, and to evaluate the effectiveness of the system.
Specifically, we define ADLs in ontology language OWL that can be used by computers, and establish a method to recognize ADLs from sensor data by integrating machine learning and logical inference.
Furthermore, by converting the Functional Independence Measure (FIM) into knowledge, the degree of independence is evaluated based on characteristics such as the time required for each ADL and the presence or absence of nursing care. By visualizing the results using a radar chart, changes in the level of independence can be understood objectively.
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| Free Research Field |
知能情報処理
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| Academic Significance and Societal Importance of the Research Achievements |
見守りシステムは，医療・介護分野IoTの中心として，生活支援，健康促進，最適医療，スタッフの負担軽減などに役立たせることが期待されているが，現状は，起床検知などの単機能なものが多い．日常生活行動と夜間睡眠のすべてを見守るシステムを開発し実証実験によりその有効性を示すのは，学術的にも挑戦的であり独自性がある．
応用面から見ても，自立度がわかれば介護度もわかるため，介護度認定の自動化にもつながり，Society5.0として社会や産業に対する影響も大きい．現在の介護度認定は，主に本人からのインタビューによっており客観性，公平性に課題がある．客観的かつ説明可能な介護度自動判定システムへの期待は大きい．
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