Development of an advanced caregiver support system using IoT.

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K21739
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 58:Society medicine, nursing, and related fields
• Research Institution: Junshin Gakuen University
• Principal Investigator: Murai Takako 純真学園大学, 看護学科, 准教授 (50733515)
• Co-Investigator(Kenkyū-buntansha): 深沢 圭一郎 京都大学, 学術情報メディアセンター, 准教授 (50377868) ; 鈴木 臣 愛知大学, 地域政策学部, 教授 (60397479)
• Project Period (FY): 2020-07-30 – 2023-03-31
• Keywords: 非接触 / 介護 / IoT / 自律

Outline of Final Research Achievements

Currently, Japan has one of the highest aging rates in the developed countries, and the burden on the caregivers is becoming heavier as the number of elder who need care increases. One of the ways to reduce this burden is to apply information technology where it is not necessary for human to do so. Therefore, we develop a system that uses non-contact environmental sensors and IoT to acquire and predict information about the living environments of the persons being cared for, as well as to recognize their behavior. This system is actually installed in several care homes and the system can autonomously recognize what kind of behavior the elderly residents requiring long-term care in the environment is taking, and also predict what values the data will take in the future by numerically analyzing the data obtained by the environmental sensors.

Free Research Field

基礎看護学

Academic Significance and Societal Importance of the Research Achievements

非接触型の小型環境センサを用いて、対象者の生活環境を認識することで、起床、睡眠などの生活パターンをモニタでき、危険な環境状態（高温、多湿）や対象者の異常状態（動いていないなど通常とは異なる生活動作）を遠隔地においても迅速に検知することを実現する。これらを組み合わせたリモートかつリアルタイムなサポートシステムにより、見守りを行う介護者の負担を大きく軽減させることにつながる。