This project focuses on developing a musculoskeletal model that operates with minimal input data and computational effort while estimating muscle-tendon forces. Here we are planning to combine the Gait2354 and the Full Body model from Rajagopal. Unlike conventional research trends that prioritize increasingly complex and detailed models, our approach aims for a computationally efficient and user-friendly solution.
Our objective is to create a model capable of providing real-time biomechanical insights in clinical settings. The model is designed for application in gait analysis, rehabilitation robotics, and the control of rehabilitation devices. A key initial goal is to implement this model for continuous monitoring during early rehabilitation in intensive care units, specifically utilizing the VEMOTION robot from Reactive Robotics. Based on this foundation, further applications are planned for future development.