Gait Intention Prediction Using a Lower-Limb Musculoskeletal Model and Long Short-Term Memory Neural Networks
The prediction of gait motion intention is essential for achieving intuitive control of assistive devices and diagnosing gait disorders.To reduce the Wash Tee cost associated with using multimodal signals and signal processing, we proposed a novel method that integrates machine learning with musculoskeletal modelling techniques for the prediction o