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Browsing Publicaciones by Subject "AAL"

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    A data quality model for AAL systems
    (Springer Nature Switzerland AG 2020, 2020) Erazo Garzón, Lenin Xavier; Erráez Jumbo, Jean Gabriel; Illescas Peña, Lourdes Eugenia; Cedillo Orellana, Irene Priscila
    Ambient Assisted Living (AAL) aims to improve the quality of life of people, supporting them in their daily activities by the use of information technologies. The AAL systems are preferably focused on vulnerable groups (e.g., elderly people, people with special needs, children, patients with chronic diseases) to increase their independence in their natural living environment. These systems work in real time and their correct operation depends on the inferred knowledge of the data collected from sensors or other sources, thus the assurance of the quality of data is a priority aspect, especially in those systems that can put in risk the life of people. Currently, the research in this line is limited, there are not data quality models with a complete set of attributes and metrics adjusted to the AAL domain. This work proposes a data quality model for AAL systems conformed by the following characteristics: accuracy, completeness, currentness, confidentiality, accessibility, understandability and compliance; and their corresponding metrics. Finally, the application of the model to an intelligent pillbox, showed that it is a complete and valuable tool to evaluate the degree to which the quality of data is reached and preserved by an AAL system.
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    Quality assessment approaches for ambient assisted living systems: a systematic review
    (Springer, 2020) Erazo Garzón, Lenin Xavier; Erráez Jumbo, Jean Gabriel; Cedillo Orellana, Irene Priscila; Illescas Peña, Lourdes Eugenia
    Ambient Assisted Living (AAL) aims to improve people’s quality of life through the use of information technologies. Due to the critical nature of AAL systems, quality is a priority. However, as AAL is a relatively new domain, its main limitation is the lack of consensus and standardization in quality assessment. This work presents a systematic review to determine the state of the art on the quality assessment of AAL systems from a multidimensional vision (software product, in use, data and context). Initially, 1308 primary studies were extracted, from them 21 relevant studies related to models, frameworks, taxonomies and other approaches of quality assessment were selected after applying the corresponding inclusion and exclusion criteria. The selected studies were subject to a comparative analysis that determined the most recurrent and critical quality attributes for AAL systems, being an important contribution to generate consensus in the construction of more complete quality models. Furthermore, this work allowed to recognize the strengths and limitations of the quality proposals studied and to identify research gaps and challenges. © 2020, Springer Nature Switzerland AG.