2018
DOI: 10.1007/978-3-030-01836-8_21
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Musculoskeletal Simulation and Evaluation of Support System Designs

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Cited by 13 publications
(13 citation statements)
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“…For product development, movement prediction approaches need to be developed that address these challenges, depending on the purpose. The development of products that have a high interaction level with the user, like exoskeletons (Miehling et al, 2018), demands movement prediction approaches that focus on the feedback loop (interface) between user and product. Optimal control algorithms, together with suitable force prediction methods (Krüger and Wartzack, 2017;Fluit et al, 2014) may enable the computation of a dynamic equilibrium between the user's movement behaviour and the product's dynamic behaviour.…”
Section: Psychologymentioning
confidence: 99%
See 1 more Smart Citation
“…For product development, movement prediction approaches need to be developed that address these challenges, depending on the purpose. The development of products that have a high interaction level with the user, like exoskeletons (Miehling et al, 2018), demands movement prediction approaches that focus on the feedback loop (interface) between user and product. Optimal control algorithms, together with suitable force prediction methods (Krüger and Wartzack, 2017;Fluit et al, 2014) may enable the computation of a dynamic equilibrium between the user's movement behaviour and the product's dynamic behaviour.…”
Section: Psychologymentioning
confidence: 99%
“…Those products represent the highest level of interaction a user can possibly have with a product. Accordingly, the analysis and evaluation of the user-product interaction is crucial for the development of those products (Miehling et al, 2018). To virtually model this interaction, an integration of finite element product models into a musculoskeletal human model seems promising.…”
Section: Co-simulation/ Integration Of Multibody and Finite-element-mmentioning
confidence: 99%
“…On the one hand, MHMs can be used to estimate the effects of support systems by testing their working principles with the MHM prior to design development. For example, (Miehling et al, 2018) demonstrated the potential positive effects of knee support during lifting movements by applying an abstract moment to the knee. On the other hand, MHMs also offer the potential to simulatively validate the utility of existing exoskeletons or to perform parameter studies to optimize existing designs.…”
Section: Introductionmentioning
confidence: 99%
“…61 Facilitating control with compliant biarticular actuators: Studies on 62 biomechanics of human gaits and robotics show that biarticular muscles help to 63 generate motions in a more energy efficient way [34,42]. In fact, these muscles actuate 64 two joints simultaneously, transfer the energy towards distal joints and further control 65 the output force direction [34,43], [35]. Given these features, biarticular assistive devices 66 can be more effective in reducing energy consumption during walking.…”
mentioning
confidence: 99%
“…For evaluating the applicability and performance of the proposed BAExo design using 235 ABC control, we employed OpenSim software (https://opensim.stanford.edu). Due 236 to difficulties in (human) experiment based validation of assistive devices' design and 237 control, the method of using neuromuscular simulation models is becoming more 238 popular[5,30,[64][65][66]. By reviewing several studies with this approach Grabke et al,OpenSim is an open source software for developing experiment-based models of 242 musculoskeletal structures and creating dynamic simulations of movement[68].…”
mentioning
confidence: 99%