Anne Koelewijn

Anne Koelewijn holds the professorship in Computational Movement Science and leads the “Biomechanical Motion Analysis and Creation (BioMAC)” group since August 2019. Her research into human movement and neuromuscular control was awarded several times, such as by the International Society of Biomechanics, who awarded her the Promising Scientist Award at the 2023 congress, and a Best Paper award at the 5th International Symposium on Wearable Robotics in 2020.

Anne Koelewijn came to FAU from Switzerland, where she did a postdoc in the Biorobotics Laboratory at the École Polytechnique Fédérale de Lausanne, focusing on neuromuscular control of standing and gait. She holds a Doctor of Engineering degree in Mechanical Engineering from Cleveland State University in Cleveland, Ohio, where she worked on predictive simulations of gait with a focus on prosthesis design in the lab of Prof. Antonie van den Bogert. Before that, she received an MSc. in Mechanical Engineering, with a specialization in BioMechanical Design, and a BSc. in Aerospace Engineering, both from Delft University of Technology in the Netherlands.

Research interest: Human Movement, Optimal Control, “In the wild” movement analysis, Musculoskeletal modelling, Dynamics Simulation

Teaching

Winter semester

• Lecture (with optional exercise): Gait Analysis and Simulation (GAS)
• Seminar: The Why and How of Human Gait Simulations (HGS)
• Seminar: Machine Learning in Movement Analysis (MLMA)
• Online lecture through VHB: Bewegungsanalyse und Biomechanische Grenzgebiete (BABG)

Summer semester

• Lecture and exercise: Control of Robot Locomotion (CRL)
• Seminar: Machine Learning in Movement Analysis (MLMA)

Key references

Gambietz, M., Nitschke, M., Miehling, J., & Koelewijn, A. D. (2024). Contributing Components of Metabolic Energy Models to Metabolic Cost Estimations in Gait. IEEE Transactions on Biomedical Engineering. In Press.

Mohr, M., Federolf, P., Heinrich, D., Nitschke, M., Raschner, C., Scharbert, J., & Koelewijn, A. D. (2024). An 8-week injury prevention exercise program combined with change-of-direction technique training reduces change-of-direction knee joint loading without compromising performance, Scientific Reports, 14(1), 3115.

Nitschke, M., Marzilger, R., Leyendecker, S., Eskofier, B. M., & Koelewijn, A. D. (2023). Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data. PeerJ, 11, e14852.

Dorschky, E., Camomilla, V., Davis, J., Federolf, P., Reenalda, J., & Koelewijn, A. D. (2023). Perspective on “in the wild” movement analysis using machine learning. Human Movement Science, 87, 103042.

Koelewijn, A. D. & Selinger, J. C. (2022). Predictive Simulations of Gait with Exoskeletons that Alter Energetics. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 30, 1931-1940.

Koelewijn, A. D. & van den Bogert, A. J. (2022). Antagonistic Co-contraction Can Minimise Muscular Effort in Systems with Uncertainty. PeerJ, 10, e13085.

Koelewijn, A. D., & Ijspeert, A. J. (2020). Exploring the Contribution of Proprioceptive Reflexes to Balance Control in Perturbed Standing. Frontiers in bioengineering and biotechnology, 8, 866.

Dorschky, E., Nitschke, M., Martindale, C., van den Bogert, A. J., Koelewijn, A. D., & Eskofier, B. M. (2020). CNN-based Estimation of Sagittal Plane Walking and Running Biomechanics from Measured and Simulated Inertial Sensor Data. Frontiers in Bioengineering and Biotechnology, 8, 604.

Koelewijn, A. D., Heinrich, D., & van den Bogert, A. J. (2019). Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study. PLoS ONE, 14(9), e0222037.

Koelewijn, A. D. & van den Bogert, A. J. (2016). Joint contact forces can be reduced by improving joint moment symmetry in below-knee amputee gait simulations. Gait & Posture, 49, 219-225.

A comprehensive list of publications can be found on Google Scholar.

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