Abstract
Falls are one of the most common and problematic issues for the elderly, especially for the elderly living alone or going out independently. Falling can cause severe injuries to the elderly such as disability, hospitalisations and premature death. Aligning with the government policy, i.e. “Aging in place”, this chapter aims to design an IoT-based intelligent health system with smart devices (IIHS) to prevent falls and maintain the autonomy of the elderly in an indoor environment. In IIHS, it integrates IoT, fog computing and artificial intelligence for (i) enhancing the balancing ability of the elderly and (ii) achieving better health monitoring and planning and forecasting.
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WU, C.H., LAM, C.H.Y., XHAFA, F., TANG, V., IP, W.H. (2022). Case Study in Fall Prevention in Indoor Environments. In: Wu, C., Lam, C.H., Xhafa, F., Tang, V., Ip, W. (eds) IoT for Elderly, Aging and eHealth. Lecture Notes on Data Engineering and Communications Technologies, vol 108. Springer, Cham. https://doi.org/10.1007/978-3-030-93387-6_8
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DOI: https://doi.org/10.1007/978-3-030-93387-6_8
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