Maschinelle Lernverfahren zur Personalisierung muskuloskelettaler Menschmodelle, Bewegungsanalyse (SFB 1483 EmpkinS C01)
Third Party Funds Group - Sub project
Acronym:
SFB 1483 EmpkinS C01
Start date :
01.07.2021
End date :
30.06.2025
Website:
https://www.empkins.de/
BeReal: Assessing the impact of intra-stride treadmill belt speed variations on human gait using optimal control (2025)
Fleischmann S, Weiß A, Shanbhag J, Miehling J, Wartzack S, Eskofier B, Koelewijn A
Conference contribution, Abstract of lecture
Does motion capture cause psychological stress and can we see it in the person’s gait? (2025)
Fleischmann S, Kurz M, Richer R, Gambietz M, Abel L, Sommers B, Eskofier B, et al.
Conference contribution, Abstract of lecture
A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring (2024)
Krauß D, Engel L, Ott T, Bräunig J, Richer R, Gambietz M, Albrecht N, et al.
Journal article
Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data (2023)
Nitschke M, Marzilger R, Leyendecker S, Eskofier B, Koelewijn A
Journal article, Original article
“In the Wild" Movement Analysis of Arbitrary Motions (2023)
Koelewijn A, Nitschke M, Leyendecker S
Conference contribution, Abstract of lecture
Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation (2022)
Nitschke M, Marzilger R, Leyendecker S, Eskofier B, Koelewijn A
Other publication type, Dataset
Can we combine data sets? Feature extraction and clustering motion capture data (2022)
Fleischmann S, Nitschke M, Marzilger R, Koelewijn A
Conference contribution, Abstract of lecture
3D full-body optimal control simulations with change of direction directly driven by motion capture data (2022)
Nitschke M, Marzilger R, Koelewijn A
Conference contribution, Abstract of lecture