The OCARIoT Data Acquisition App

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

doi:10.1109/CBMS49503.2020.00084

The OCARIoT Data Acquisition App

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

Visual and Multimodal Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

6 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	unknown
Editors	Alba Garcia Seco de Herrera, Alejandro Rodriguez Gonzalez, KC Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	409-414
Number of pages	6
ISBN (Electronic)	9781728194295
DOIs	https://doi.org/10.1109/CBMS49503.2020.00084
Publication status	Published - Jul 2020
Event	33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020 - Virtual, Online, United States Duration: 28 Jul 2020 → 30 Jul 2020

Publication series

Name	1063-7125

Conference

Conference	33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020
Country/Territory	United States
City	Virtual, Online
Period	28/07/20 → 30/07/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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
App
Health IoT
MHealth
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.

Access to Document

10.1109/CBMS49503.2020.00084

Barbosa-et-al-DAP-20Final published version, 1.04 MB

Cite this

@inproceedings{7ec21a017f1741df9094acf62fcb02ad,

title = "The OCARIoT Data Acquisition App",

abstract = "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.",

keywords = "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, 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, App, Health IoT, MHealth, Pilots",

author = "Paulo Barbosa and Douglas Santos and Caio Lucena and Leire Bastida and Ferreira, \{Jose Fernando\} and Gloria Cea",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020 ; Conference date: 28-07-2020 Through 30-07-2020",

year = "2020",

month = jul,

doi = "10.1109/CBMS49503.2020.00084",

language = "English",

series = "1063-7125",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "409--414",

editor = "\{de Herrera\}, \{Alba Garcia Seco\} and \{Rodriguez Gonzalez\}, Alejandro and KC Santosh and Zelalem Temesgen and Bridget Kane and Paolo Soda",

booktitle = "unknown",

address = "United States",

}

Barbosa, P, Santos, D, Lucena, C, Bastida, L, Ferreira, JF & Cea, G 2020, The OCARIoT Data Acquisition App. in AGS de Herrera, A Rodriguez Gonzalez, KC Santosh, Z Temesgen, B Kane & P Soda (eds), unknown. 1063-7125, Institute of Electrical and Electronics Engineers Inc., pp. 409-414, 33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020, Virtual, Online, United States, 28/07/20. https://doi.org/10.1109/CBMS49503.2020.00084

The OCARIoT Data Acquisition App. / Barbosa, Paulo; Santos, Douglas; Lucena, Caio et al.
unknown. ed. / Alba Garcia Seco de Herrera; Alejandro Rodriguez Gonzalez; KC Santosh; Zelalem Temesgen; Bridget Kane; Paolo Soda. Institute of Electrical and Electronics Engineers Inc., 2020. p. 409-414 (1063-7125).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The OCARIoT Data Acquisition App

AU - Barbosa, Paulo

AU - Santos, Douglas

AU - Lucena, Caio

AU - Bastida, Leire

AU - Ferreira, Jose Fernando

AU - Cea, Gloria

PY - 2020/7

Y1 - 2020/7

N2 - 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.

AB - 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.

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KW - Spain

KW - Greece

KW - Brazil

KW - Fitbit services

KW - Smart childhood obesity caring solution

KW - mHealth open source solution

KW - OCARIoT Data Acquisition App

KW - Token manager

KW - Data controllers

KW - Efficient IoT data collection

KW - IoT potential

KW - Health IoT pilots

KW - User experience

KW - Spain

KW - Greece

KW - Brazil

KW - Fitbit services

KW - Smart childhood obesity caring solution

KW - mHealth open source solution

KW - OCARIoT Data Acquisition App

KW - Token manager

KW - Data controllers

KW - Efficient IoT data collection

KW - IoT potential

KW - Health IoT pilots

KW - App

KW - Health IoT

KW - MHealth

KW - Pilots

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U2 - 10.1109/CBMS49503.2020.00084

DO - 10.1109/CBMS49503.2020.00084

M3 - Conference contribution

T3 - 1063-7125

SP - 409

EP - 414

BT - unknown

A2 - de Herrera, Alba Garcia Seco

A2 - Rodriguez Gonzalez, Alejandro

A2 - Santosh, KC

A2 - Temesgen, Zelalem

A2 - Kane, Bridget

A2 - Soda, Paolo

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020

Y2 - 28 July 2020 through 30 July 2020

ER -

The OCARIoT Data Acquisition App

Abstract

Publication series

Conference

UN SDGs

Keywords

Project and Funding Information

Access to Document

Other files and links

Fingerprint

Cite this