2 research outputs found

    Using mobile devices and apps to assist the elder population in rural areas and generate business opportunities

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    Providing gerontological cares represents an increased challenge when applied to rural scenarios. This paper discusses the role of technology in gerontology and specifically how technology-based solutions can be developed to assist the elderly population in rural areas. We also characterize the Northeast Portuguese region exposing its rural characteristics and presented some demographic numbers. Finally, a conceptual model and a prototype supported by mobile devices are presented to assist and monitor the elderly and enhance business opportunities. The developed prototype allows not only to assist the elderly in a set of typical elderly population routines - such as those related to health - but also to improve the interaction between the elderly and their relatives and / or caregivers. This work is part of a more extensive effort that has been made in the search for effective solutions to assist the elderly population in rural areas, typically distant from the main health and / or support services; contributing to relieve these deficits.info:eu-repo/semantics/publishedVersio

    Contextualized behavior patterns for ambient assisted living

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    International audienceHuman behavior learning plays an important role in ambient assisted living since it enables service personalization. Current work in human behavior learning do not consider the context under which a behavior occurs which hides some behaviors that are frequent only under certain conditions. In this work, we present the notion of a contextualized behavior pattern which describes a behavior pattern with the context on which it occurs (i.e. nap when raining) and propose an algorithm for finding these patterns in a data stream. This is our main contribution. These patterns help to better understand the routine of a user in a smart environment, as is evidenced when testing with a public dataset. This algorithm could be used to learn behaviors from users in an ambient assisted living environment in order to send alarms when behavior changes occur
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