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23 results on '"Fujão, Carlos"'

1. Occupational and Individual Factors for Musculoskeletal Pain in the Automotive Industry

Author

Assunção, Ana, Moniz-Pereira, Vera, Bernardes, Sarah, Fujão, Carlos, Veloso, António P., Carnide, Filomena, Kacprzyk, Janusz, Series Editor, Arezes, Pedro M., editor, Melo, Rui B., editor, Carneiro, Paula, editor, Castelo Branco, Jacqueline, editor, Colim, Ana, editor, Costa, Nélson, editor, Costa, Susana, editor, Duarte, Joana, editor, Guedes, Joana C., editor, Perestrelo, Gonçalo, editor, and Baptista, J. Santos, editor

Published
2024
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3. Towards Segmentation and Labelling of Motion Data in Manufacturing Scenarios

Author

Santos, António, Rodrigues, João, Folgado, Duarte, Santos, Sara, Fujão, Carlos, Gamboa, Hugo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gehin, Claudine, editor, Wacogne, Bruno, editor, Douplik, Alexandre, editor, Lorenz, Ronny, editor, Bracken, Bethany, editor, Pesquita, Cátia, editor, Fred, Ana, editor, and Gamboa, Hugo, editor

Published
2022
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4. Functional Capacity Profiles Adjusted to the Age and Work Conditions in Automotive Industry

Author

Bernardes, Sarah, Assunção, Ana, Fujão, Carlos, Carnide, Filomena, Kacprzyk, Janusz, Series Editor, Arezes, Pedro M., editor, Baptista, J. Santos, editor, Carneiro, Paula, editor, Castelo Branco, Jacqueline, editor, Costa, Nélson, editor, Duarte, J., editor, Guedes, J. C., editor, Melo, Rui B., editor, Miguel, A. Sérgio, editor, and Perestrelo, Gonçalo, editor

Published
2022
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6. Exploring Inertial Sensor Fusion Methods for Direct Ergonomic Assessments

Author

Santos, Sara, Folgado, Duarte, Rodrigues, João, Mollaei, Nafiseh, Fujão, Carlos, Gamboa, Hugo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ye, Xuesong, editor, Soares, Filipe, editor, De Maria, Elisabetta, editor, Gómez Vilda, Pedro, editor, Cabitza, Federico, editor, Fred, Ana, editor, and Gamboa, Hugo, editor

Published
2021
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7. How Workers Perceive LAEVO Exoskeleton Use in Non-cyclic Tasks

Author

Flor, Raquel, Gaspar, Jacqueline, Fujão, Carlos, Nunes, Isabel L., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Nunes, Isabel L., editor

Published
2021
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9. A Genetic Algorithm to Design Job Rotation Schedules with Low Risk Exposure

Author

Rodrigues, João, Gamboa, Hugo, Mollaei, Nafiseh, Osório, Daniel, Assunção, Ana, Fujão, Carlos, Carnide, Filomena, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Camarinha-Matos, Luis M., editor, Farhadi, Nastaran, editor, Lopes, Fábio, editor, and Pereira, Helena, editor

Published
2020
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10. Piloting the Use of an Upper Limb Passive Exoskeleton in Automotive Industry: Assessing User Acceptance and Intention of Use

Author

Ferreira, Gabriela, Gaspar, Jacqueline, Fujão, Carlos, Nunes, Isabel L., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Nunes, Isabel L., editor

Published
2020
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12. Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators' Adaptations.

Author

Furk, Dania, Silva, Luís, Dias, Mariana, Fujão, Carlos, Probst, Phillip, Liu, Hui, and Gamboa, Hugo

Subjects
ASSEMBLY line methods, SYNCHRONIC order, PLETHYSMOGRAPHY, RISK assessment, ELECTRIC inductance
Abstract

Repetitive tasks can lead to long-term cardiovascular problems due to continuous strain and inadequate recovery. The automobile operators on the assembly line are exposed to these risks when workload volume changes according to the workstation type. However, the current ergonomic assessments focus primarily on observational and, in some cases, biomechanical methods that are subjective and time-consuming, overlooking cardiorespiratory adaptations. This study aimed to analyze the cardiorespiratory response to distinct workload volumes and ergonomic risk (ER) scores for an automotive assembly line. Sixteen male operators (age = 38 ± 8 years; BMI = 25 ± 3 kg·m2) volunteered from three workstations (H1, H2, and H3) with specific work cycle duration (1, 3, and 5 min respectively). Electrocardiogram (ECG), respiratory inductance plethysmography (RIP), and accelerometer (ACC) data were collected during their shift. The results showed significant differences from the first to the last 10 min, where H3 had its SDRRi reduced (p = 0.014), H1's phase synchrony and H2's coordination between thoracic and abdominal movements decreased (p < 0.001, p = 0.039). In terms of ergonomic risk, the moderate-high rank showed a reduction in SDRRi (p = 0.037) and moderate-risk activities had diminished phase synchrony (p = 0.018) and correlation (p = 0.004). Thus, the explored parameters could have the potential to develop personalized workplace adaptation and risk assessment systems. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Human-Centered Explainable Artificial Intelligence

Author

Mollaei, Nafiseh, Fujão, Carlos, Silva, Luís, Rodrigues, João, Cepeda, Cátia, Gamboa, Hugo, DF – Departamento de Física, and LIBPhys-UNL

Subjects
functional work ability, occupational health protection profiles, SDG 3 - Good Health and Well-being, explainable AI (XAI), Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health, musculoskeletal symptoms, natural language processing, Pollution
Abstract

In automotive and industrial settings, occupational physicians are responsible for monitoring workers' health protection profiles. Workers' Functional Work Ability (FWA) status is used to create Occupational Health Protection Profiles (OHPP). This is a novel longitudinal study in comparison with previous research that has predominantly relied on the causality and explainability of human-understandable models for industrial technical teams like ergonomists. The application of artificial intelligence can support the decision-making to go from a worker's Functional Work Ability to explanations by integrating explainability into medical (restriction) and support in contexts of individual, work-related, and organizational risk conditions. A sample of 7857 for the prognosis part of OHPP based on Functional Work Ability in the Portuguese language in the automotive industry was taken from 2019 to 2021. The most suitable regression models to predict the next medical appointment for the workers' body parts protection were the models based on CatBoost regression, with an RMSLE of 0.84 and 1.23 weeks (mean error), respectively. CatBoost algorithm is also used to predict the next body part severity of OHPP. This information can help our understanding of potential risk factors for OHPP and identify warning signs of the early stages of musculoskeletal symptoms and work-related absenteeism. publishersversion published

Published
2022

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