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日常生活データ（音・臭・振動）による高齢者の生活リズムのモデル化に関する研究

利用日常生活数据（声音、气味、振动）对老年人的生活方式进行建模的研究

基本信息

批准号：
19K12208
负责人：
撫中達司
金额：
$ 2.83万
依托单位：
Tokai University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2019
资助国家：
日本
起止时间：
2019-04-01 至 2024-03-31
项目状态：
已结题

项目摘要

本研究の目的は，老齢者の日常生活動作・活動(ADL)に含まれる食事，排せつ，入浴，掃除などを音，ニオイ，振動などのセンサーデータを活用して認識し，その行動をモデル化し，個人の生活リズムとして評価可能とすることで，短期(突発)・中期・長期的な観点で老齢者の状態を管理可能とし，①突然の事故(転倒)，②状態変化に応じたケアプラン作成，③認知症の早期発見などの介護ケアに貢献することである．本目的に対して，これまでの研究において，(1)介護記録における自立度自動評価アルゴリズム，(2)介護記録からのオントロジ生成の試作などに取組みしてきた．本年度は，特に(1)の成果を活用した行動認識システムを構築し，被験者２名の居住空間において行動認識に関する評価を実施した．その結果，それぞれ96%，85%という認識率を確認した．生活音の認識においては，音声認識に活用されているMFCC(Mel-Frequency Cepstral Coefficient)を改良して認識率の向上を図った．本成果について，電子情報通信学会の英文論文誌に採用，掲載された(a)．本成果により，高齢者の日常生活動作・活動(ADL)に含まれる食事，入浴，掃除などの基本行動については行動認識が可能であるという結論を得た．なお，(2)については21年度の成果として，オントロジの自動構築の基本機構は確認できている．(1)はData-driven approachの1手法であり，また，(2)はKnowlege-driven approachを行うためのオントロジ構築手法となる．今後は(1)と(2)を組み合わせたナレッジグラフを構築することで，本研究の目的の達成に向けて研究を進める予定である．(a) Home Activity Recognition by Sounds of Daily Life Using Improved Feature Extraction Method, IEICE TRANSACTIONS on Information and Systems, Vol. E106-D No.4, p.450-458

The purpose of this study is that elderly people's activities of daily life (ADL) include eating, arranging food, taking a bath, getting rid of the sound of eating, drinking, activating, activating, learning, learning, and personal life activities. Short-term (sudden) medium-term and long-term health status management of elderly people may be difficult, 1 sudden accident (collapse), 2-shaped accident (collapse), 2-shaped emergency response, 3 cognitive symptoms in the early stage, you can see that in the early stage of cognitive disease, you will be encouraged to pay tribute to you in the early stage. the purpose of this study is to improve the performance of the research program, (1) to monitor the degree of self-reliance and self-reliance. (2) this year, (1) this year, (1) the results of this year are: (1) the results of this year are as follows: (1) this year, the results of this year are as follows: (1) this year, the results show that the two people who have been killed in the living space are in good health. The results show that the performance rate is 96% and 85%, respectively. The results of this paper are related to the use of English discussion articles and magazines by the Society for Electronic and emotional Communications. (a). This result is very useful for people who enjoy daily activities (ADL), including eating, eating, bathing, etc. In addition to the basic activities, activities, knowledge, and knowledge, it is possible to obtain a summary of the results of the survey. (2) the results of the annual results of the year 21 were published. (1) the basic organization of the Data-driven approach program confirms that the information is not correct. (1) the performance of the basic organization of the automatic training system is not satisfactory. (2) in the future, (1) (2) in the future, the Knowlege-driven approach will be divided into two groups. The purpose of this study is to improve the performance of the study. (a) Home Activity Recognition by Sounds of Daily Life Using Improved Feature Extraction Method, IEICE TRANSACTIONS on Information and Systems, Vol. E106Murd No.4, p. 450-458