Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
A DESIGN OF ELDERLY CARE MONITORING SYSTEM USING MULTI-MODAL SENSORS
- Authors
- Kim, Sumin; Nam, Sangwon; Seo, Jimin; Cho, Seohee; Jeong, Junho
- Issue Date
- 2025
- Publisher
- International Association for Development of the Information Society
- Keywords
- Anomaly Detection; Contactless Sensor; Elderly Living Alone; Health Monitoring System; Lifestyle Pattern Analysis; Machine Learning
- Citation
- Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computional Intelligence 2025, Connected Smart Cities 2025 and E-Health 2025, pp 216 - 220
- Pages
- 5
- Indexed
- FOREIGN
- Journal Title
- Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computional Intelligence 2025, Connected Smart Cities 2025 and E-Health 2025
- Start Page
- 216
- End Page
- 220
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Jeong, Jun Ho
- College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)