View Proposal

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Proposer

Ghassan Husnain

Title

Integration of multi-modal fusion and edge computing in smart elderly care system for intelligent buildings

Goal

This study aims to develop an intelligent, scalable, and home-based elderly care system to address the challenges posed by population aging.

Description

This study proposes an integrated intelligent elderly-care framework designed to support the sustainable operation of the model. The system incorporates multimodal sensing, automated risk detection, and a structured three-level linkage mechanism spanning home units, community service centers, and medical institutions. Supported by edge–cloud collaborative computation, the architecture enhances real-time responsiveness, improves coordination efficiency, and reduces dependence on unstable network conditions. This study aims to design and implement an intelligent elderly care system capable of providing real-time safety monitoring, rapid emergency response, and coordinated service linkage across home, community, and medical units. To achieve this goal, the system introduces two core innovations. First, an enhanced edge-side multimodal fusion strategy is developed by combining CNN–LSTM visual analysis with environmental and physiological sensing, integrated through Dempster–Shafer evidence reasoning to reduce false alarms and improve decision reliability. Second, a new decision optimization model is proposed that leverages edge–cloud collaborative processing and three-level service linkage to enable sub-second local inference and structured emergency escalation. These contributions address key limitations of existing systems and support scalable, low-latency, and reliable elderly care services.

Resources

1: Zhou, Haiting, and Jing Wang. "Design of intelligent elderly care service system combined with the medical care and elderly care based on IoT: study on intelligent elderly care service system service model and hierarchical architecture based on IoT." Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science. 2023. 2: Jia, Yan. "Integration and Application of Internet of Things (IoT) Technology in Smart Health and Wellness Communities." 2026 International Conference on Intelligent Engineering and Next-Gen Healthcare Systems (IEHNS). IEEE, 2026.

Background

Url

Difficulty Level

Moderate

Ethical Approval

None

Number Of Students

2

Supervisor

Ghassan Husnain

Keywords

ai, iot, edge computing

Degrees

Bachelor of Science in Computational Sciences and Software Engineering