Abstract
The proceeding chapters identified challenge areas which still need to be addressed—both purely technological ones and those to improve the measurement of clinical parameters.
To summarize, the technological challenges include:
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At the sensor level, there are challenges with precision, cost, and improving non-intrusiveness.
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At the level of data movement, or getting data to the right place, there are ongoing challenges with the current hub varieties and how to optimize local versus central computing.
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Cloud-based data analytics is still in its infancy, and it is unclear how data from thousands of homes will be analyzed in real time.
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The ability of machine learning algorithms to identify anomalies is still fluctuating and needs improvement.
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The ‘supportive’ part of supportive smart homes is just developing: “Which is the best way to notify older adults of changes in their physical and cognitive abilities?” and “Who else can have access to this information and how will it be done securely?”
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Knoefel, F., Wallace, B., Thomas, N., Sveistrup, H., Goubran, R., Laurin, C.L. (2024). Future of the Technology. In: Supportive Smart Homes. Synthesis Lectures on Technology and Health. Springer, Cham. https://doi.org/10.1007/978-3-031-37337-4_11
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DOI: https://doi.org/10.1007/978-3-031-37337-4_11
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