Insights into motor control: predict muscle activity from upper limb kinematics with LSTM networksOpen Access

Schmidt, M.D., Glasmachers, T, & Iossifidis, I.

Forschungsartikel (Zeitschrift) | Peer reviewed

Details zur Publikation

FachzeitschriftScientific Reports (Sci. Rep.)
Jahrgang / Bandnr. / Volume16, 2614
StatusVeröffentlicht
Veröffentlichungsjahr2026
StichwörterUpper 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

Autor*innen der Universität Münster

Schmidt, Nique