Measurement uncertainty on smart phone

Maria Grazia D'Elia, Antonio Del Giudice, Giorgio Graditi, Vincenzo Paciello

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Today the number of phones in the world are more than five billion. In the last generation of phone there are a subset called smartphone, the use of this subset is growing. These devices are more and more sophisticated, capable of measuring many parameters from environment. In order to do that this smartphone is equipped with a several sensors and by means of an application (APP) that pick up the information from each sensor, it is possible to send, share, analyze, and display the measured data. Nevertheless, people could use this data without real information on accuracy of measured parameters. Thanks to these devices in the next few years there will be the opportunity to have a big wireless sensor network. With this paper the authors try to tackle the uncertainty question related to sensors suited to smart phone or any other android devices. The main goal has been to address this new idea implementing the first application that analyze a method of calibration with the aim of evaluating the uncertainty of sensors data. © 2013 IEEE.
Original languageEnglish
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013 - , Italy
Duration: 1 Jan 2013 → …

Conference

Conference2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013
CountryItaly
Period1/1/13 → …

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Science Applications

Cite this

D'Elia, M. G., Del Giudice, A., Graditi, G., & Paciello, V. (2013). Measurement uncertainty on smart phone. Paper presented at 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2013, Italy. https://doi.org/10.1109/CIVEMSA.2013.6617411