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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of sensors 2016-01, Vol.2016 (2016), p.1-9
Main Authors: Flórez-Revuelta, Francisco, Pombo, Nuno, Garcia, Nuno M., Pires, Ivan Miguel, Rodríguez, Natalia Díaz
Format: Article
Language:English
Subjects:
Algorithms
Applications programs
Classification
Devices
Grounds
Health
Mobile communication systems
Sensors
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1687-725X
1687-7268
DOI:10.1155/2016/2839372