TY - GEN
T1 - A DESIGN OF ELDERLY CARE MONITORING SYSTEM USING MULTI-MODAL SENSORS
AU - Kim, Sumin
AU - Nam, Sangwon
AU - Seo, Jimin
AU - Cho, Seohee
AU - Jeong, Junho
N1 - Publisher Copyright:
© 2025 IADIS Press All rights reserved.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Anomaly Detection
KW - Contactless Sensor
KW - Elderly Living Alone
KW - Health Monitoring System
KW - Lifestyle Pattern Analysis
KW - Machine Learning
UR - https://www.scopus.com/pages/publications/105022108476
M3 - Conference contribution
AN - SCOPUS:105022108476
T3 - Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2025, BigDaCI 2025; Connected Smart Cities 2025 and e-Health 2025, EH 2025 - part of the Multi Conference on Computer Science and Information Systems 2025
SP - 216
EP - 220
BT - Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2025, BigDaCI 2025; Connected Smart Cities 2025 and e-Health 2025, EH 2025 - part of the Multi Conference on Computer Science and Information Systems 2025
A2 - Abraham, Ajith
A2 - Peng, Guo Chao
A2 - Isaias, Pedro
A2 - Rodrigues, Luis
PB - IADIS
T2 - 10th International Conferences on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2025; 11th International Conference on Connected Smart Cities, CSC 2025 and 17th International Conference on e-Health, EH 2025 - part of the 19th Multi Conference on Computer Science and Information Systems 2025
Y2 - 23 July 2025 through 25 July 2025
ER -