T. Nadler, S. Wolfen, D. Häufle, und S. Schmitt. Dataset, (2024)Related to: Driess, D., Zimmermann, H., Wolfen, S., Suissa, D., Haeufle, D., Hennes, D., Toussaint, M. & Schmitt, S. (2018, May). Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties. In 2018 IEEE International Conference on robotics and automation (ICRA) (pp. 6461-6468). IEEE. doi: 10.1109/ICRA.2018.8463160.
P. Lerge, N. Trube, und S. Schmitt. Dataset, (2024)Related to: N. Trube, P. Lerge, L.V. Noelle, J. Moennich, T. Lich, S. Schmitt, 'Development and plausibility assessment of an active human body model in numerical cyclist to vehicle collision simulations based on real-life accident data', IRCOBI Conference 2024.
P. Lerge, L. Nölle, und S. Schmitt. Dataset, (2023)Related to: Lerge P., Nölle L.V., Schmitt S., Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles, Human Factors 2023.