A HUMAN-CENTRIC RESIDENTIAL SAFETY SYSTEM FOR INDEPENDENT ELDERLY INDIVIDUALS
DOI:
https://doi.org/10.35631/JISTM.1144007Keywords:
Elderly Safety, Fire Hazard, Fall Risk, IoTAbstract
The number of ageing individuals who live alone increases the necessity of holistic residential safety measures. This research paper portrays the human-centred smart home safety system combining environmental hazards detection, as well as activity monitoring. The system incorporates the use of gas, flame, temperature and humidity sensors, along with (ultrasonic-based) occupancy tracking to check high-risk areas, especially bedding and toilet areas. The core of the solution is an ESP32 microcontroller that allows real-time data collection, local notifications, and IoT-based features through the Blynk and Telegram platforms. To test the performance of the system, a prototype residential model was created, which showed experimental outcomes displaying that the average alert latency was about 1.97 seconds, which means that the system is nearly able to respond to emergencies in real-time. The proposed system can offer a cost-effective, non-invasive, and practical way of improving the safety of the residence by integrating both environmental sensing and time-based analysis of activities. The results prove the practicability of incorporating the multi-sensor monitoring system into the IoT connectivity to ensure the safety of independent living of older citizens.
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References
Anjum, F., Gani, R., Isty, M. N., Ali, M. S., & Hasan, M. (2024). IoT-Based Smart Home Automation System: Ensuring Safety for the Elderly. Proceedings - 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024, 214–219. https://doi.org/10.1109/InCACCT61598.2024.10551092
Byun, N. (2019). Fire safety in planning of elderly residential facilities: a case study from Korea. Journal of Asian Architecture and Building Engineering, 18(6), 617–626. https://doi.org/10.1080/13467581.2019.1696807
Dauda, A., Flauzac, O., & Nolot, F. (2024). A Survey on IoT Application Architectures. In Sensors (Vol. 24, Number 16). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/s24165320
David Chung Hu, B., Fahmi, H., Yuhao, L., Kiong, C. C., & Harun, A. (2018). Internet of Things (IOT) Monitoring System for Elderly. 2018 International Conference on Intelligent and Advanced System (ICIAS), 1–6. https://doi.org/10.1109/ICIAS.2018.8540567
Dev V. Savla, Soham Parekh, Ankit R. Gupta, Devansh Agarwal, & Narendra M. Shekokar. (2020, October 7). ResQ - Smart Safety Band. Proceedings of the 4th International Conference on LoT in Social, Mobile, Analytics and Cloud (ISMAC 2020).
Karemaker, M., ten Hoor, G. A., Hagen, R. R., van Schie, C. H. M., Boersma, K., & Ruiter, R. A. C. (2021). Elderly about home fire safety: A qualitative study into home fire safety knowledge and behaviour. Fire Safety Journal, 124. https://doi.org/10.1016/j.firesaf.2021.103391
Khokher, B., Dhivya, M., Swetha, D., Anila, D., Naik, A. G., & Shwetha, S. (2023). IoT-based Intelligent Modeling of Security Monitoring System for Human Safety. 2023 International Conference on Computer Communication and Informatics, ICCCI 2023. https://doi.org/10.1109/ICCCI56745.2023.10128230Kotronis, C., Politi, E., Routis, I., Nikolaidu, M., & Dimitrakopoulos, G. (2018). Remote Elderly Monitoring Systems on a Human-centric Perspective. Mediterranean Conference on Information Systems (MCIS). https://aisel.aisnet.org/mcis2018/7
Nunoo, D., & Eze, J. (2024). England: General Population Health Landscape. 2024 International Conference on Decision Aid Sciences and Applications (DASA), 1–7. https://doi.org/10.1109/DASA63652.2024.10836589
Qun Jin, Bo Wu, Shoji Nishimura, & Atsushi Ogihara. (2016). Ubi-Liven: A Human-Centric Safe and Secure Framework of Ubiquitous Living Environments for the Elderly. 2016 International Conference on Advanced Cloud and Big Data. https://doi.org/DOI10.1109/CBD.2016.50
Rubesh Kumar, T., Attar, H., Sankar, R., Sivakumar, J., Dinesh, M., & Sahare, S. B. (2025). Cost-Efficient Self-Controlled Automated Home Management System in the IoT Context. Proceedings - 1st International Conference on Frontier Technologies and Solutions, ICFTS 2025. https://doi.org/10.1109/ICFTS62006.2025.11032050
Sin, A. K., Ahmad, A., Zaman, H. B., & Sulaiman, R. (2014). A wearable device for the elderly: A case study in Malaysia. Proceedings of the 6th International Conference on Information Technology and Multimedia, 318–323. https://doi.org/10.1109/ICIMU.2014.7066652
Suntiamorntut, W., Charoenpanyasak, S., & Ruksachum, J. (2011). An elderly assisted living system with wireless sensor networks. 2011 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC 2011), 1–6. https://doi.org/10.1109/WMNC.2011.6097215
Tun, S. Y. Y., Madanian, S., & Mirza, F. (2021). Internet of things (IoT) applications for elderly care: a reflective review. Aging Clinical and Experimental Research, 33(4), 855–867. https://doi.org/10.1007/s40520-020-01545-9
Wu, Z., & Deng, D. (2011). Risk management on social security in China from the perspective of aging population. Proceeding of the International Conference on E-Education, Entertainment and e-Management, 107–109. https://doi.org/10.1109/ICeEEM.2011.6137855
Yang, C.-F., & Sun, C.-S. (2016). Discussing the Influence of Aging on Taiwan’s Design Industry. 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE), 289–292. https://doi.org/10.1109/SOSE.2016.21
