Reinforcement learning control of a biomechanical model of the upper extremity

Below, we first provide details on our biomechanical model. After discussing our general reinforcement learning approach, we focus on the individual components of our method, namely states, actions, scaling factors, rewards, and an adaptive target-selection mechanism. We also provide details on the implementation of our algorithm. Finally, we discuss the methods used for evaluation. Biomechanical […]

Building Effective Machine Learning Models for Ankle Joint Power Estimation During Walking Using FMG Sensors

Introduction In gait analysis, ankle joint power can play an essential role to address the issues regarding abnormal gait actions (Zelik and Honert, 2018). For example, a decreased ankle joint power indicates muscle weakness and a diminution of health. However, measuring the ankle joint power is still complex and expensive, which may involve setting up […]