Gait2Hip-60: A Unified Deep Learning Benchmark for Predicting Hip Muscle Forces and Joint Moments from Multi-Cadence Gait Kinematics

This study introduces Gait2Hip-60, a deep learning framework to predict hip muscle forces and joint moments directly from multi-cadence gait kinematics. It compares LSTM, Transformer, and Mamba models, evaluating their performance on healthy adults and an external cohort of patients.