Abstract
The paper reports an investigation conducted during the DHM2020 Symposium regarding current trends in research and application of DHM in academia, software development, and industry. The results show that virtual reality (VR), augmented reality (AR), and digital twin are major current trends. Furthermore, results show that human diversity is considered in DHM using established methods. Results also show a shift from the assessment of static postures to assessment of sequences of actions, combined with a focus mainly on human well-being and only partly on system performance. Motion capture and motion algorithms are alternative technologies introduced to facilitate and improve DHM simulations. Results from the DHM simulations are mainly presented through pictures or animations.
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Acknowledgement
This work was made possible thanks to the responses of the participants of the DHM2020 Symposium. We also want to thank for the support from the Knowledge Foundation and the associated INFINIT research environment at the University of Skövde in the Synergy Virtual Ergonomics (SVE) project and from the participating organizations. This support is gratefully acknowledged.
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Hanson, L., Högberg, D., Brolin, E., Billing, E., Pascual, A.I., Lamb, M. (2022). Current Trends in Research and Application of Digital Human Modeling. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 223. Springer, Cham. https://doi.org/10.1007/978-3-030-74614-8_44
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DOI: https://doi.org/10.1007/978-3-030-74614-8_44
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