Abstract
Industry 4.0 passes through the concept of smart factories, bringing into the industrial context a new vision of production lines and workflows, which can now be designed considering ergonomics and thus the interaction among operators, machines, and tools, in accordance with human-centered design principles. Virtual simulations help in reproducing such interactions and in foreseeing solutions to improve the working conditions before installing tools and equipment. In addition, motion capture techniques have proven capable to guarantee the reproduction of human motion with sufficient accuracy. The present work aims at the development of an integrated tool for ergonomics risk assessment index calculation, using motion capture in 3D environments. With this purpose, starting from motion capture acquisitions, an engine for postural angle calculation, in accordance with international standards, and a Unity-based application have been specifically designed and validated. The work is part of the IM.PR.ES.S.E.D. (IMmersive PRocESs ergonomicS by wEarable Devices) project.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
UNI EN ISO 6385:2004, Ergonomic Principles in The Design of Work Systems (2004)
Eurofound webpage https://www.eurofound.europa.eu/news/news-articles/just-one-in-three-workers-with-limiting-chronic-disease-in-adapted-workplace. Accessed 14 Apr 2022
Crawford, J.O, Davis A.: Review of research, policy, and practice on prevention of work-related musculoskeletal disorders (MSDs), EU OSHA Report, (2020)
Eurofound web page, https://www.eurofound.europa.eu/it/topic/ageing-workforce. Accessed 14 Apr 2022
Gartner Report Homepage, https://www.gartner.com/en/doc/344077-accelerating-digitalization-in-manufacturing-industries-primer-for-2018. Accessed 14 Apr 2022
Burdea, G.C., Coiffet, P.: Virtual Reality Technology. Wiley, New Jersey (2003)
Marc, J., Belkacem, N., Marsot, J.: Virtual reality: a design tool for enhanced consideration of usability validation elements. Sci. Dir. 45, 589–601 (2005)
Cheng, Z.Q., Chen, Y., Martin, R.R., Wu, T., Song, Z.: Parametric modeling of 3D human body shape - a survey. Comput. Graph. 7, 88–100 (2018)
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., Davis, J.: Scape: shape completion and animation of people. In: ACM SIGGRAPH 2005 Papers, pp. 408–416 (2005)
Siemens Tecnomatix Jack, https://www.geoplm.com/knowledge-base-resources/GEOPLM-Siemens-PLM-Tecnomatix-Jack.pdf. Accessed 14 Apr 2022
UNI EN 1005–4:2009, Safety of machinery – Human physical performance – Part 4: Evaluation of working postures and movements in relation to machinery
ISO 11226:2000. Ergonomics – Evaluation of static working postures
Padilla, B.D., Glushkova, A., Menychtas, D., Manitsaris, S.: Designing a web based automatic ergonomic assessment using motion data. In: PETRA 2019. The 12th Pervasive Technologies Related to Assistive Environments Conference, HAL Open Science, Greece (2019)
PEROSH Joint Research Project - Assessing arm elevation at work with technical systems
Schaub, K., Caragnano, G., Britzke, B., Bruder, R.: The european assembly worksheet. Theor. Issues Ergon. Sci. 14(6), 616–639 (2013)
Xsens, https://www.xsens.com/validation-research-list. Accessed 14 Apr 2022
Yunus, M.N.H., Jaafar, M.H., Mohamed, A.S.A., Azraai, N.Z., Hossain, M.S.: Implementation of kinetic and kinematic variables in ergonomic risk assessment using motion capture simulation: a review. Int. J. Environ. Res. Public Health 18(16), 8342 (2021)
Siemens Process Simulate, https://www.plm.automation.siemens.com/global/en/our-story/customers/sgar/78332/. Accessed 14 Apr 2022
Acknowledgments
This work is part of the two-year project IM.PR.ES.S.E.D. (IMmersive PRocESs ergonomicS by wEarable Devices) coordinated by Stellantis (FCA Italy) in collaboration with Politecnico di Torino, Università della Campania Luigi Vanvitelli, CIM4.0 (Competence Industry Manufacturing 4.0) of Torino for technical and development consultancy, and Mare Digital for immersive reality tools.
The authors would like to thank Giovanni Diana, Luigi Amato and Maurizio Mondelli for their invaluable support during the development and validation of the tools resulting from the project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Carnazzo, C., Spada, S., Lamacchia, S., Manuri, F., Sanna, A., Cavatorta, M.P. (2023). Real-Time Data Analysis and 3D Representation for Postural Assessment in Manufacturing Processes. In: Bellandi, T., Albolino, S., Bilancini, E. (eds) Ergonomics and Nudging for Health, Safety and Happiness. SIE 2022. Springer Series in Design and Innovation , vol 28. Springer, Cham. https://doi.org/10.1007/978-3-031-28390-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-031-28390-1_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-28389-5
Online ISBN: 978-3-031-28390-1
eBook Packages: EngineeringEngineering (R0)