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A DSL-based Approach for the detection of Activities of Daily Living by means of the AGGIR variables

Abstract : In recent years, the elderly population sector has increased faster than in the previous decades. In addition to that, elderly population suffers from age-related health issues and different chronic diseases. Furthermore, various studies indicate that the vast majority of elderly people are willing to live independently in their own homes as long as possible. In order to assess the abovementioned problem, personal sensor networks and body sensor networks in smart environments represent an option regarding healthcare solutions for monitoring elderly people at home. However, despite their popularity, the abscence of a monitoring approch with regard to a dependency evaluation model such as the AGGIR (Autonomie Grontologie Groupes Iso- Ressources) grid variables has never been treated. Therefore, in this thesis work, with the aim of providing an analyis tool regarding the monitoring of ADL’s performed by the elderly/handicapped people within a home environment by means of data recovered from sensors; a Domain Specific Language (DSL) relying on the AGGIR grid model is proposed. The main contributions of this research work are: • A state-of-the-art related to the proposed subject; • A Domain Specic Language (DSL) for assessing the AGGIR grid variables; • A framework for validating the proposed DSL. For the purpose of determining the ADL’s carried out by the elderly resident, as well as recognising the AGGIR grid variables; the introduced DSL is based on both temporal and location operators. Moreover, with the goal to validate the abovementioned DSL, a framework architecture is presented in order to meet the requirements for analyzing complex events. To this extent, the framework is conformed by: (i) the DSL as its main component, (ii) the integration of the proposed DSL to a smart-home simulator for performing evaluation and experimentation; (iii) a parser aimed to process the data recovered from the DSL in order to generate appropriate instructions for the smart-home simulator.
Keywords : e-health
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José Manuel Negrete Ramírez. A DSL-based Approach for the detection of Activities of Daily Living by means of the AGGIR variables. Other [cs.OH]. Université de Pau et des Pays de l'Adour, 2019. English. ⟨tel-02437347⟩

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