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Assessing the Suitability of an Upper Body OpenSim Model for Simulations of Horizontal and Overhead Drilling Use Cases

Spengler, Carina ORCID iD icon 1; Sutschet, Susanne ORCID iD icon 1; Saucedo, Alfredo 1; Fleischer, Martin; Rack, Rebecca; Bengler, Klaus; Matthiesen, Sven 1
1 Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

This study evaluates the ability of OpenSim musculoskeletal simulations to estimate upper limb muscle activation during hammer drilling. A user study was conducted with six subjects performing different drilling tasks while varying drilling postures (horizontal - two-handed, upwards - two-handed, upwards - one-handed) and drill bit size. Body motion, external forces, and surface electromyography (sEMG) of muscle groups of the upper body were measured. Muscle activations were simulated in OpenSim using an upper limb musculoskeletal model and results were compared to the experimental data. Overall, simulated activations aligned qualitatively with EMG trends across different tasks, although quantitative agreement was limited depending on muscle and subject. The results indicate the potential of such models for early-stage ergonomic evaluations of power tools. Key challenges include scaling of muscle forces in the model, user-specific variability, and vibration effects.


Originalveröffentlichung
DOI: 10.1007/978-3-032-13012-9_3
Zugehörige Institution(en) am KIT Institut für Produktentwicklung (IPEK)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2026
Sprache Englisch
Identifikator ISBN: 978-3-032-13012-9
ISSN: 0302-9743
KITopen-ID: 1000190191
Erschienen in HCI International 2025 – Late Breaking Papers: 27th International Conference on Human-Computer Interaction, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part IX. Ed.: V. G. Duffy
Veranstaltung 27th International Conference on Human-Computer Interaction (2025), Göteborg, Schweden, 22.06.2025 – 27.06.2025
Verlag Springer Nature Switzerland
Seiten 34–49
Serie Lecture Notes in Computer Science (LNCS) ; 16339
Vorab online veröffentlicht am 02.01.2026
Nachgewiesen in Scopus
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