A DESIGN OF ELDERLY CARE MONITORING SYSTEM USING MULTI-MODAL SENSORS

Abstract

This study proposes a system and mobile application UI/UX that enables caregivers and key stakeholders to monitor the daily living data of elderly individuals living alone, collected through eight types of non-contact sensors, in an effort to address social issues such as the prevention of solitary deaths. Daily living patterns are analyzed based on data related to outings, sleep, and physical activity, and a risk classification method is proposed accordingly. The study was conducted using anonymized data collected over a two-week period from ten participants. Based on these findings, a mobile application was designed to allow caregivers to access monitoring reports, thereby aiming to enhance the efficiency of health management for elderly individuals living alone. © 2025 IADIS Press All rights reserved.