2026
TCN-xLSTM: A Hybrid Temporal Model Integrating TCN and xLSTM for Lower Limb Joint Moment Estimation From IMU Signals
RA-L 2026
Accurate prediction of human joint moments is essential for enhancing the stability, responsiveness, and control of wearable exoskeletons. Although machine learning approaches from inertial measurement unit (IMU) signals have advanced joint moment estimation, existing models still suffer from limite