Validation Techniques for Sensor Data in Mobile Health Applications
Mobile applications have become a must in every user’s smart device, and many of these applications make use of the device sensors’ to achieve its goal. Nevertheless, it remains fairly unknown to the user to which extent the data the applications use can be relied upon and, therefore, to which exten...
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doaj-2ce68a4b519b498fb34f8196f097d85b2020-11-25T00:12:18ZengHindawi LimitedJournal of Sensors1687-725X1687-72682016-01-01201610.1155/2016/28393722839372Validation Techniques for Sensor Data in Mobile Health ApplicationsIvan Miguel Pires0Nuno M. Garcia1Nuno Pombo2Francisco Flórez-Revuelta3Natalia Díaz Rodríguez4Instituto de Telecomunicações, Universidade of Beira Interior, Covilhã, PortugalInstituto de Telecomunicações, Universidade of Beira Interior, Covilhã, PortugalInstituto de Telecomunicações, Universidade of Beira Interior, Covilhã, PortugalDepartment of Computer Technology, Universidad de Alicante, Alicante, SpainDepartment of Computer Science and Artificial Intelligence, CITIC-UGR, University of Granada, Granada, SpainMobile applications have become a must in every user’s smart device, and many of these applications make use of the device sensors’ to achieve its goal. Nevertheless, it remains fairly unknown to the user to which extent the data the applications use can be relied upon and, therefore, to which extent the output of a given application is trustworthy or not. To help developers and researchers and to provide a common ground of data validation algorithms and techniques, this paper presents a review of the most commonly used data validation algorithms, along with its usage scenarios, and proposes a classification for these algorithms. This paper also discusses the process of achieving statistical significance and trust for the desired output.http://dx.doi.org/10.1155/2016/2839372 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ivan Miguel Pires Nuno M. Garcia Nuno Pombo Francisco Flórez-Revuelta Natalia Díaz Rodríguez |
spellingShingle |
Ivan Miguel Pires Nuno M. Garcia Nuno Pombo Francisco Flórez-Revuelta Natalia Díaz Rodríguez Validation Techniques for Sensor Data in Mobile Health Applications Journal of Sensors |
author_facet |
Ivan Miguel Pires Nuno M. Garcia Nuno Pombo Francisco Flórez-Revuelta Natalia Díaz Rodríguez |
author_sort |
Ivan Miguel Pires |
title |
Validation Techniques for Sensor Data in Mobile Health Applications |
title_short |
Validation Techniques for Sensor Data in Mobile Health Applications |
title_full |
Validation Techniques for Sensor Data in Mobile Health Applications |
title_fullStr |
Validation Techniques for Sensor Data in Mobile Health Applications |
title_full_unstemmed |
Validation Techniques for Sensor Data in Mobile Health Applications |
title_sort |
validation techniques for sensor data in mobile health applications |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2016-01-01 |
description |
Mobile applications have become a must in every user’s smart device, and many of these applications make use of the device sensors’ to achieve its goal. Nevertheless, it remains fairly unknown to the user to which extent the data the applications use can be relied upon and, therefore, to which extent the output of a given application is trustworthy or not. To help developers and researchers and to provide a common ground of data validation algorithms and techniques, this paper presents a review of the most commonly used data validation algorithms, along with its usage scenarios, and proposes a classification for these algorithms. This paper also discusses the process of achieving statistical significance and trust for the desired output. |
url |
http://dx.doi.org/10.1155/2016/2839372 |
work_keys_str_mv |
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1725399933332226048 |