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Today, creating innovative Internet of Bodies solutions requires manually gathering the needed information from an increasing number of services and personal devices. In this article, we tackle this challenge by presenting Human Data Model-a programming framework for combining information from several sources, performing computations over that information to high-level abstractions, and then providing these abstractions to proactively schedule computer-human interactions.
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Mäkitalo et al. (2020) studied this question.
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