Research on AI-based Integrated Monitoring System for Elderly Safety
Ming Sun, Hao Wang
Journal of Information Security Research, Vol. 15, No. 4, 2024.
DOI: https://doi.org/10.6025/jisr/2024/15/4/148-154
Link: https://www.dline.info/jisr/fulltext/v15n4/jisrv15n4_3.pdf
Abstract:
In todayâ€™s ageing society, elderly safety has become a major concern in China. This
research introduces a comprehensive intelligent monitoring system for elderly
safety, which combines artificial intelligence technology and diverse information
fusion techniques. The system incorporates machine learning algorithms, Internet
of Things (IoT) devices, and cloud computing applications, focusing on community
and home scenarios. Through a series of sensors, it collects daily life data of the
elderly in a non-intrusive manner, enabling intelligent alerts for high-risk conditions
such as falls, sudden illnesses, abnormal entries/exits, gas leaks, and smoke
detection. Innovative research in human posture estimation and behaviour
recognition, along with the fusion of information from multiple sensors, can reduce
the occurrence of elderly safety accidents and improve the living environment in
communities and homes.