Abstract
The proposed Ubiquitous Activity Aware Framework aims to leverage the immense potential that lies in the application of Activity Centered Computing in an Internet of Things (IoT) environment for the future of technology-based living spaces, for instance, in Smart Homes and Smart Cities. The scientific contribution in this work aims to address both the shortage of caregivers and the global challenges for reducing the burden of healthcare related costs for treating elderly people. Elderly people face problems like motor disabilities, physical limitations, memory issues and so on, which limit their abilities to perform Activities of Daily Living (ADLs) on their own. The challenge in this context is to develop technology-based solutions to sustain active aging and independent living of the aging population. Mild Cognitive Impairment (MCI) is commonly found in the aging population and there is a looming need for early detection of MCI to address the increasing healthcare related costs associated with the elderly population. To ensure smooth functioning of the world, the proposed framework addresses the aforementioned challenges through development of a long-term, economically viable and feasible assistive solution that takes a holistic approach in terms of analyzing user interactions during ADLs, to track, study, analyze and detect potential symptoms of MCI and other anomalies in elderly behavior, for preventive and timely care, with an aim to reduce these costs incurred to the healthcare industry in the context of contributing towards independent living of the aging population in Smart Homes.
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Thakur, N., Han, C.Y. (2021). An Intelligent Ubiquitous Activity Aware Framework for Smart Home. In: Ahram, T., Taiar, R., Langlois, K., Choplin, A. (eds) Human Interaction, Emerging Technologies and Future Applications III. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1253. Springer, Cham. https://doi.org/10.1007/978-3-030-55307-4_45
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