TY - GEN
T1 - A Data Quality Model for AAL Systems
AU - Erazo-Garzon, Lenin
AU - Erraez, Jean
AU - Illescas-Peña, Lourdes
AU - Cedillo, Priscila
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - AAL
KW - Ambient Assisted Living
KW - Data
KW - Evaluation
KW - Measurement
KW - Metric
KW - Quality model
UR - https://www.scopus.com/pages/publications/85076541933
U2 - 10.1007/978-3-030-35740-5_10
DO - 10.1007/978-3-030-35740-5_10
M3 - Contribución a la conferencia
AN - SCOPUS:85076541933
SN - 9783030357399
T3 - Advances in Intelligent Systems and Computing
SP - 137
EP - 152
BT - Information and Communication Technologies of Ecuador, TIC.EC 2019
A2 - Fonseca C, Efraín
A2 - Rodríguez Morales, Germania
A2 - Orellana Cordero, Marcos
A2 - Botto-Tobar, Miguel
A2 - Crespo Martínez, Esteban
A2 - Patiño León, Andrés
PB - Springer
T2 - 6th Conference on Information and Communication Technologies, TIC.EC 2019
Y2 - 27 November 2019 through 29 November 2019
ER -