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Validation Techniques for Sensor Data in Mobile Health Applications

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 2016, 1–10, 2016.

http://dx.doi.org/10.1155/9161

Abstract:

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.

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BibTeX entry:

@ARTICLE{jPiGaPoFlDx16a,
  title = {Validation Techniques for Sensor Data in Mobile Health Applications},
  author = {Pires, Ivan Miguel and Garcia, Nuno M. and Pombo, Nuno and Flórez-Revuelta, Francisco and Díaz Rodríguez, Natalia},
  journal = {Journal of Sensors},
  volume = {2016},
  publisher = {Hindawi, Journal of sensors},
  pages = {1–10},
  year = {2016},
  keywords = {sensors, mobile, health care, Activities of Daily Living (ADLs), activity recognition},
  ISSN = {1687-7268},
}

Belongs to TUCS Research Unit(s): Embedded Systems Laboratory (ESLAB)

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