Uma Contribuição à Reabilitação Cardíaca Explorando a Identificação de Situações na IoT
Abstract
The Internet of Things (IoT) has influenced the development of computational systems, enabling a more proactive interaction with users, expanding features as mobility and availability. In this scenario increases the demand for applications that can recognize the user’s context and can provide situationbased services. The identification of situations is a research challenge for applications in the IoT, given the complexity of the relationships that must be established and processed. This paper presents an approach for the identification of situations, which is integrated with the EXEHDA middleware. The proposed approach provides the collaboration between the middleware and the applications. A case study in the health area was developed to evaluate the architecture. This case study was focused on cardiac rehabilitation.
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