journal article·2025-12-11Open access

Safety Monitoring System for Seniors in Large-Scale Outdoor Smart City Environment

Taehun Yang, Sungmo Ham, Soochang Park

Applied Sciences· Volume 15· Issue 24

Abstract

The global elderly population continues to increase, and the demand for leisure programs that support active aging is growing. In particular, group-based outdoor activities for seniors are often conducted in large public areas such as parks, ecological gardens, and cultural sites. As many of these spaces are now being integrated into smart city infrastructures equipped with IoT-based sensing and location-aware services, opportunities for data-driven safety support are expanding. However, in these wide and crowded environments, a small number of social workers are responsible for supervising many elderly participants, which creates monitoring blind spots. In addition, age-related cognitive and physical decline increases the risk of wandering and sudden health deterioration, making timely detection and response difficult. To address this problem, we propose a safety monitoring system for seniors. The system is based on a cloud platform that collects location data from GPS modules and motion information from embedded sensors on mobile devices. It provides real-time tracking of each participant and periodically evaluates their safety state. When abnormal conditions are detected, alerts are delivered to both social workers and the corresponding senior. A prototype implementation, consisting of a cloud server and mobile applications for social workers and elderly users, has been developed. The system is evaluated through a field test conducted on a university campus.
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Research context

OpenAlex topics: Context-Aware Activity Recognition Systems · IoT-based Smart Home Systems · Robotics and Automated Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Computer Science and Engineering Major, School of Computer & Software Engineering, Gyeongkuk National University, Andong 36729, Republic of Korea

Department of Computer Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea

Funding

Gyeongkuk National University

References (16)

Show source-provided references
1. Shen, X., Wang, J., Chen, J., Zhang, H., Shen, S., and Zhao, X. (2024). Relationship between participation in leisure activities and the maintenance of successful aging in older Chinese adults: A 4-year longitudinal study. BMC Geriatr., 24.10.1186/s12877-024-05574-1 ↗
2. Jun, M.-G., and Choi, C. (2024). Perspective on Leisure Sports Participation Among Older Adults in a Super-Aging Society: Focusing on Health Concern, Athletic Passion, Leisure Satisfaction, and Intent to Continue Participating in Leisure Sports. Healthcare, 41.10.3390/healthcare13010041 ↗
3. Impact of Outdoor Recreation on Quality of Life in Older Adults: Focusing on Cheongju City
4. Relationship between specific leisure activities and successful aging among older adults10.1016/j.jesf.2022.11.006 ↗
5. Location-aware smart health monitoring system for elderly safety in smart city environments
6. Effects of Depression on Cognitive Function in the Elderly and Moderating Effects of Socioeconomic Status
7. Park, M., Jeong, I., Yun, D., and Sin, J. (2019, January 17–19). Location Tracking System using GPS Information. Proceedings of the Korean Society of Computer Information Conference, Seoul, Republic of Korea.
8. Implementation of Smart Shoes for Dementia Patients using Embedded Board and Low Power Wide Area Technology
9. Development of an AI-Based App for Preventing Missing Children and Elderly Using Location Information
10. Kamel Gharghan, S., Saad Fakhrulddin, S., Al-Naji, A., and Chahl, J. (2019). Energy-Efficient Elderly Fall Detection System Based on Power Reduction and Wireless Power Transfer. Sensors, 19.10.3390/s19204452 ↗
11. Study on Development for Smart Door Lock and App. using Arduino and Infrared Sensor
12. Kwok, C.Y.T., Wong, M.S., Griffiths, S., Wong, F.Y.Y., Kam, R., Chin, D.C.W., Xiong, G., and Mok, E. (2020). Performance Evaluation of iBeacon Deployment for Location-Based Services in Physical Learning Spaces. Appl. Sci., 10.10.3390/app10207126 ↗
13. Abdallah, B., Khriji, S., Chéour, R., Lahoud, C., Moessner, K., and Kanoun, O. (2024). Improving the Reliability of Long-Range Communication against Interference for Non-Line-of-Sight Conditions in Industrial Internet of Things Applications. Appl. Sci., 14.10.3390/app14020868 ↗
14. Design and Implementation of Ultra-Long-Range LoRa Communication Module
15. Design and implementation of blockchain-based anti-theft protocol in Lora environment
16. Ryu, J., Yeom, S., Kang, J., Choi, B., and Lee, M. (2022, January 2–4). CCW Algorithm-Based Honeybee Counting System and Honeybee Classification System. Proceedings of the Korean Institute of Information Technology Conference, Jeju, Republic of Korea.