Yu-Zhou Lin

An Effective Semi-Subject-Independent sEMG-Based Learning Framework to Continuously Predict Knee Joint Trajectory.

Predicting knee joint trajectory is critical for controlling intelligent walking-assistive devices, with surface electromyography (sEMG) emerging as a promising modality for motion intention decoding. However, accurate and continuous prediction remains challenging because both intersubject and intrasubject variability...