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The OCARIoT Data Acquisition App

  • Paulo Barbosa
  • , Douglas Santos
  • , Caio Lucena
  • , Leire Bastida
  • , Jose Fernando Ferreira
  • , Gloria Cea

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)
6 Descargas (Pure)

Resumen

We introduce the OCARIoT Data Acquisition App, a mHealth open source solution that synchronizes and manages data in Health IoT pilots. It was developed during the H2020 project entitled OCARIoT (Smart childhood Obesity CARing solution using IoT potential) and is innovative in the sense that it allows efficient IoT data collection, integration of different commercial devices, improves the user's privacy, data's security and the management of data controllers respecting legal and ethics policies. The application acts as a token manager for accessing external services. Besides the main features of the application, we report the integration of Fitbit services, and the deployment in four Health IoT pilots in Brazil, Greece and Spain. A survey was conducted with users in these three pilots and collected information about their user experience. The results presented excellent feedbacks from the users, with initial needs of synchronizing different children's accounts and privacy, which justified the development of the tool. Finally, we got feedback of improvements in ethics, technological and reuse in Health IoT pilots.
Idioma originalInglés
Título de la publicación alojadaunknown
EditoresAlba Garcia Seco de Herrera, Alejandro Rodriguez Gonzalez, KC Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas409-414
Número de páginas6
ISBN (versión digital)9781728194295
DOI
EstadoPublicada - jul 2020
Evento33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020 - Virtual, Online, Estados Unidos
Duración: 28 jul 202030 jul 2020

Serie de la publicación

Nombre1063-7125

Conferencia

Conferencia33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020
País/TerritorioEstados Unidos
CiudadVirtual, Online
Período28/07/2030/07/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar

Palabras clave

  • User experience
  • Spain
  • Greece
  • Brazil
  • Fitbit services
  • Smart childhood obesity caring solution
  • mHealth open source solution
  • OCARIoT Data Acquisition App
  • Token manager
  • Data controllers
  • Efficient IoT data collection
  • IoT potential
  • Health IoT pilots

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/777082/EU/smart childhood Obesity CARing solution using IoT potential/OCARIoT
  • Funding Info
  • The research has been performed under the OCARIoT project, funded from the European Union`s HORIZON 2020 Programme (2014-2020), ID 777082, and from the Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Ensino e Pesquisa (RNP), ID 003008. We are also thankful to developers who also contributed to the realization of the OCARIoT Data Acquisition App, namely: Jefferson Medeiros, Lucas Rocha, Aislan Monteiro, Alex Figueiredo, Thomas Fisher and Kostas Soutos.

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