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Acceptability of Digital Quality of Life Questionnaire Corroborated with Data from Tracking Devices

Draghici, Rozeta, Rusu, Alexandra, Prada, Gabriel Ioan, Herghelegiu, Anna Marie, Bajenaru, Lidia, Dobre, Ciprian, Mavromoustakis, Constandinos X., Spinsante, Susanna, Batalla, Jordi Mongay and González-Vélez, Horacio (2019) Acceptability of Digital Quality of Life Questionnaire Corroborated with Data from Tracking Devices. In: 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, p. 8858470. ISBN 9781728110165

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CAMAD.2019.8858470

Abstract

The vINCI technology has a modular construction therefore the acceptability of each device will be assessed and further technological adaptation and modification will be performed based on older peoples feedback in a step by step manner. To avoid biased feedback and outcome due to previous usage of vINCI devices, different samples of seniors will be selected for each stage of the vINCI testing and validation. The vINCI modular technology comprises of different devices such as intelligent tablet (IT), smart watch (SW), smart insole (SI) and smart camera (SC). At this stage of the study we are testing the acceptability of a digital Quality of Life Questionnaire and we want to determine what information offers each type of tracking devices. The results of the study will allow us to determine at what stage of evolution of subjects over the age of 65 it will be necessary to introduce each of the four devices in order to obtain enough data or information to make decisions that prevent the aggravation of some diseases, or various accidents at home or during persons walking.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

R Medicine > Healthcare Industry
H Social Sciences > HV Social pathology. Social and public welfare > Welfare of older people
Divisions: School of Computing > Staff Research and Publications
Related URLs:
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 29 Oct 2019 11:37
Last Modified: 29 Oct 2019 11:37
URI: http://trap.ncirl.ie/id/eprint/4071

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