School of Engineering Science
The overarching purpose of the VEAP research project (KK-stiftelsen/INFINIT Dnr 20160292) is to study the implementation of DHM (digital human modelling) simulation in industrial production system development processes to support proactive consideration of ergonomics issues in early development phases.
Further research purposes are to evaluate the developed and implemented methods and functionality in an industrial context and to improve the existing system to be able to produce digital human models with enhanced appearance and accuracy. An aim of the research project is to identify a suitable work process when utilising a so called manikin family and automated batch simulations for visualisation and evaluation of proposed product or workplace design. Another aim of the research project is to create a system that includes a number of mathematical models that combined will be able to produce digital human models with data of body shape, strength and flexibility.
Brolin, E., Högberg, D., Hanson, L., Örtengren, R. (2019). Development and Evaluation of an Anthropometric Module for Digital Human Modelling Systems. International Journal of Human Factors Modelling and Simulation, Vol. 7(1), pp. 47-70.
Brolin, E., Mahdavian, N., Hanson, L., Högberg, D., Johansson, J. (2018). Possibilities and challenges for proactive manufacturing ergonomics. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), Volume VIII: Ergonomics and Human Factors in Manufacturing, Bagnara, S., Tartaglia, R., Albolino. S., Alexander, T., Fujita, Y. (Eds.), pp. 11-20, ISBN 978-3-319-96067-8 (print), 978-3-319-96068-5 (online), DOI https://doi.org/10.1007/978-3-319-96068-5.
Brolin, E., Högberg, D., Hanson, L. and Björkenstam, S. (2017). Virtual test persons based on diverse anthropometric data for ergonomics simulations and analysis. Proceedings of the NES 2017 Conference "Joy at Work", August 2017, Lund University, ISBN 978-91-7753-152-4.
Brolin, E., Högberg, D., Hanson, L. and Örtengren, R. (2017). Adaptive regression model for synthesizing anthropometric population data. International Journal of Industrial Ergonomics, Vol. 59, pp. 46-53.