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Wearable devices are constantly expanding in number and functionalities within both the IT market and the fashion market. Smart watches have become very popular and have moved from a tool only showing information related to the smartphone to a device able to monitor and display a vast plethora of data, including data related to the owner's health (e.g., hearth rate, body temperature, steps per day, etc.). This huge amount of data that wearables in the world can generate could be further elaborated to become even more useful. Yet, designing effective solutions to collect, store and elaborate sensors data is a challenging task. To this aim, in this paper, we present a framework to model a wearable sensors network in a simple and flexible in order to adapt to different scenarios.
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Bujari et al. (2018) studied this question.
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