The aim of this project is to investigate machine learning methods for the early prediction of transitions between different locomotion modes. Depending on the chosen focus, the work may involve analyzing multimodal sensor data, evaluating existing machine learning approaches, or developing new methods for predicting locomotion intent.

Core data