Predictive gait simluation
|
Through ML-based simulations, it is possible to learn a patient's walking strategy and provide them with optimized walking assistance based on it. This not only significantly reduces the time required for Human in the Loop Simulation (HILS) but also greatly aids in understanding the distinct walking strategies of patients, distinguishing them from the healthy population. |
Machine learning based gait clustering
|
The walking patterns of stroke patients can vary significantly based on factors such as the location of the lesion and the extent of recovery. It is essential to divide patients into similar groups to provide them with optimized training and assistance. To achieve this, research is being conducted to cluster patients based on their characteristics using ML-based unsupervised learning methods. |
