FitPi: Wearable IoT solution for a daily smart life

Pruna Sabin () and Vasilescu Anca ()
Additional contact information
Pruna Sabin: Transilvania University of Brasov, Romania
Vasilescu Anca: Transilvania University of Brasov, Romania

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2020, vol. 10, issue 1, 67-79

Abstract: The extensive implementation of Internet of Things (IoT) solutions and its wide popularity to the public over the past decade enabled emergent applications that provide sophisticated, proactive health care solutions that can improve the quality of life of individuals. This work proposes an IoT architecture and implements a prototype solution that allows its users to improve their physical activity by collecting vital signs using wearables and other environmental and habitual information in order to monitor their activity and propose behaviors in a smart way that will allow them to achieve their preset goals. The focus is on the increased usability of the system employing refined solutions like voice recognition and smart visualization to enable its seamless use while offering an interoperable architecture that will enhance its flexibility. The prototype implementation offers a proof of concept evaluation of the proposed system, applying state of the art technologies and using existing hardware and popular gadgets..

Keywords: matching pennies; Hagelbarger; sequence extrapolating robot; Shannon; mind reading machine; contextual predictor (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/ijasitels-2020-0007 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:ijsiel:v:10:y:2020:i:1:p:67-79:n:2

DOI: 10.2478/ijasitels-2020-0007

Access Statistics for this article

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences is currently edited by Daniel Volovici

More articles in International Journal of Advanced Statistics and IT&C for Economics and Life Sciences from Sciendo
Bibliographic data for series maintained by Peter Golla ().