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,

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.

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.

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.

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.