Theory and Publications

If SCONE is helpful for your research, please cite the following paper:

Geijtenbeek, T (2019). SCONE: Open Source Software for Predictive Simulation of Biological Motion. Journal of Open Source Software, 4(38), 1421, https://doi.org/10.21105/joss.01421

Papers using SCONE

Carmichael F. Ong, Thomas Geijtenbeek, Jennifer L. Hicks, Scott L. Delp (2019). Predicting gait adaptations due to ankle plantarflexor muscle weakness and contracture using physics-based musculoskeletal simulations. https://www.biorxiv.org/content/10.1101/597294v2

Methods Implemented in SCONE

Geyer, H., & Herr, H. (2010). A muscle-reflex model that encodes principles of legged mechanics produces human walking dynamics and muscle activities. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18(3), 263–73. https://doi.org/10.1109/TNSRE.2010.2047592

Wang, J., Hamner, S., Delp, S., & Koltun, V. (2012). Optimizing locomotion controllers using biologically-based actuators and objectives. ACM Trans. on Graphics, 31(4), 25. https://www.ncbi.nlm.nih.gov/pubmed/26251560

Geijtenbeek, T., van de Panne, M., & van der Stappen, a. F. (2013). Flexible muscle-based locomotion for bipedal creatures. ACM Transactions on Graphics, 32(6), 1–11. https://doi.org/10.1145/2508363.2508399

  • by tgeijten