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Insights into motor control: predict muscle activity from upper limb kinematics with LSTM networks
Schmidt, M.D., Glasmachers, T, & Iossifidis, I.
Research article (journal)
| Peer reviewed
Details about the publication
Journal:
Scientific Reports (Sci. Rep.)
Volume:
16, 2614
Status:
Published
Release year:
2026
DOI:
10.1038/s41598-025-33696-y
Keywords:
Upper limb kinematics; muscle activity prediction; motor control; Long Short-Term Memory; LSTM; end-effector kinematics; electromyography; EMG; biomechanical modeling; movement prediction; neural networks; rehabilitation; human-machine interaction; motion segmentation; swivel angle; kinematic redundancy; movement complexity; generalization; simple movements; complex movements; multi-joint movements; single-joint movements; upper limb movements
Authors from the University of Münster
Schmidt
,
Nique
Professorship for Motion Science (Prof. Wagner)