Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers

Eduarda Oliosi; Phillip Probst; João Rodrigues; Luís Silva; Daniel Zagalo; Cátia Cepeda; Hugo Gamboa

doi:10.1109/IE57519.2023.10179099

Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers

Eduarda Oliosi, Phillip Probst, João Rodrigues, Luís Silva, Daniel Zagalo, Cátia Cepeda, Hugo Gamboa

LIBPhys-UNL

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

1 Citation (Scopus)

Abstract

Work-related disorders are a growing issue for office workers and represent a significant burden to public health. Work aspects such as sitting for prolonged periods and occupational stress are modifiable risk factors highly associated with occupational disorders in office workers. The PrevOccu-pAI Project (Prevention of Occupational Disorders in Public Administrations based on Artificial Intelligence) objectively investigates relationships between a variety of occupational risk factors and physiological outcomes. For this purpose, a data acquisition protocol was carried out at the Portuguese Tax and Customs Authority. Physiological, movement, and environmental signals from office workers were acquired during five consecutive workdays using a smartphone, a smartwatch, and two electromyography sensors. Additionally, demographic, occupational, and pain information were collected through questionnaires. The present manuscript provides a detailed description of the PrevOccupAI acquisition protocol. The collected data is used to gather knowledge regarding modifiable factors at the individual and organisational levels.

Original language	English
Title of host publication	2023 19th International Conference on Intelligent Environments (IE)
Subtitle of host publication	Proceedings
Place of Publication	Massachusetts
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	8
ISBN (Electronic)	979-8-3503-1222-5
ISBN (Print)	979-8-3503-1223-2
DOIs	https://doi.org/10.1109/IE57519.2023.10179099
Publication status	Published - 2023
Event	19th International Conference on Intelligent Environments, IE 2023 - Uniciti, Mauritius Duration: 29 Jun 2023 → 30 Jun 2023

Publication series

Name	International Conference on Intelligent Environments (IE)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2469-8792
ISSN (Electronic)	2472-7571

Conference

Conference	19th International Conference on Intelligent Environments, IE 2023
Country/Territory	Mauritius
City	Uniciti
Period	29/06/23 → 30/06/23

Keywords

biosignals
data acquisition
intelligent offices
multimodal risk evaluation
occupational health

UN SDGs

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

Access to Document

10.1109/IE57519.2023.10179099

Cite this

Oliosi, E., Probst, P., Rodrigues, J., Silva, L., Zagalo, D., Cepeda, C., & Gamboa, H. (2023). Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers. In 2023 19th International Conference on Intelligent Environments (IE): Proceedings (International Conference on Intelligent Environments (IE)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IE57519.2023.10179099

Oliosi, Eduarda ; Probst, Phillip ; Rodrigues, João et al. / Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers. 2023 19th International Conference on Intelligent Environments (IE): Proceedings. Massachusetts : Institute of Electrical and Electronics Engineers (IEEE), 2023. (International Conference on Intelligent Environments (IE)).

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abstract = "Work-related disorders are a growing issue for office workers and represent a significant burden to public health. Work aspects such as sitting for prolonged periods and occupational stress are modifiable risk factors highly associated with occupational disorders in office workers. The PrevOccu-pAI Project (Prevention of Occupational Disorders in Public Administrations based on Artificial Intelligence) objectively investigates relationships between a variety of occupational risk factors and physiological outcomes. For this purpose, a data acquisition protocol was carried out at the Portuguese Tax and Customs Authority. Physiological, movement, and environmental signals from office workers were acquired during five consecutive workdays using a smartphone, a smartwatch, and two electromyography sensors. Additionally, demographic, occupational, and pain information were collected through questionnaires. The present manuscript provides a detailed description of the PrevOccupAI acquisition protocol. The collected data is used to gather knowledge regarding modifiable factors at the individual and organisational levels.",

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author = "Eduarda Oliosi and Phillip Probst and Jo{\~a}o Rodrigues and Lu{\'i}s Silva and Daniel Zagalo and C{\'a}tia Cepeda and Hugo Gamboa",

note = "Funding Information: info:eu-repo/grantAgreement/FCT/Concurso de Projetos de Investiga{\c c}{\~a}o Cient{\'i}fica e Desenvolvimento Tecnol{\'o}gico em Ci{\^e}ncia dos dados e intelig{\^e}ncia artificial na Administra{\c c}{\~a}o P{\'u}blica - 2019/DSAIPA%2FAI%2F0105%2F2019/PT# info:eu-repo/grantAgreement/FCT//PRT%2FBD%2F152843%2F2021/PT# Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th International Conference on Intelligent Environments, IE 2023 ; Conference date: 29-06-2023 Through 30-06-2023",

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Oliosi, E , Probst, P , Rodrigues, J , Silva, L , Zagalo, D , Cepeda, C & Gamboa, H 2023, Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers. in 2023 19th International Conference on Intelligent Environments (IE): Proceedings. International Conference on Intelligent Environments (IE), Institute of Electrical and Electronics Engineers (IEEE), Massachusetts, 19th International Conference on Intelligent Environments, IE 2023, Uniciti, Mauritius, 29/06/23. https://doi.org/10.1109/IE57519.2023.10179099

Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers. / Oliosi, Eduarda ; Probst, Phillip ; Rodrigues, João et al.
2023 19th International Conference on Intelligent Environments (IE): Proceedings. Massachusetts: Institute of Electrical and Electronics Engineers (IEEE), 2023. (International Conference on Intelligent Environments (IE)).

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

TY - GEN

T1 - Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers

AU - Oliosi, Eduarda

AU - Probst, Phillip

AU - Rodrigues, João

AU - Silva, Luís

AU - Zagalo, Daniel

AU - Cepeda, Cátia

AU - Gamboa, Hugo

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PY - 2023

Y1 - 2023

N2 - Work-related disorders are a growing issue for office workers and represent a significant burden to public health. Work aspects such as sitting for prolonged periods and occupational stress are modifiable risk factors highly associated with occupational disorders in office workers. The PrevOccu-pAI Project (Prevention of Occupational Disorders in Public Administrations based on Artificial Intelligence) objectively investigates relationships between a variety of occupational risk factors and physiological outcomes. For this purpose, a data acquisition protocol was carried out at the Portuguese Tax and Customs Authority. Physiological, movement, and environmental signals from office workers were acquired during five consecutive workdays using a smartphone, a smartwatch, and two electromyography sensors. Additionally, demographic, occupational, and pain information were collected through questionnaires. The present manuscript provides a detailed description of the PrevOccupAI acquisition protocol. The collected data is used to gather knowledge regarding modifiable factors at the individual and organisational levels.

AB - Work-related disorders are a growing issue for office workers and represent a significant burden to public health. Work aspects such as sitting for prolonged periods and occupational stress are modifiable risk factors highly associated with occupational disorders in office workers. The PrevOccu-pAI Project (Prevention of Occupational Disorders in Public Administrations based on Artificial Intelligence) objectively investigates relationships between a variety of occupational risk factors and physiological outcomes. For this purpose, a data acquisition protocol was carried out at the Portuguese Tax and Customs Authority. Physiological, movement, and environmental signals from office workers were acquired during five consecutive workdays using a smartphone, a smartwatch, and two electromyography sensors. Additionally, demographic, occupational, and pain information were collected through questionnaires. The present manuscript provides a detailed description of the PrevOccupAI acquisition protocol. The collected data is used to gather knowledge regarding modifiable factors at the individual and organisational levels.

KW - biosignals

KW - data acquisition

KW - intelligent offices

KW - multimodal risk evaluation

KW - occupational health

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U2 - 10.1109/IE57519.2023.10179099

DO - 10.1109/IE57519.2023.10179099

M3 - Conference contribution

AN - SCOPUS:85166302329

SN - 979-8-3503-1223-2

T3 - International Conference on Intelligent Environments (IE)

BT - 2023 19th International Conference on Intelligent Environments (IE)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Massachusetts

T2 - 19th International Conference on Intelligent Environments, IE 2023

Y2 - 29 June 2023 through 30 June 2023

ER -

Oliosi E , Probst P , Rodrigues J , Silva L , Zagalo D , Cepeda C et al. Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers. In 2023 19th International Conference on Intelligent Environments (IE): Proceedings. Massachusetts: Institute of Electrical and Electronics Engineers (IEEE). 2023. (International Conference on Intelligent Environments (IE)). doi: 10.1109/IE57519.2023.10179099

Week-long Multimodal Data Acquisition of Occupational Risk Factors in Public Administration Workers

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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