Real-time inverse kinematics and inverse dynamics for lower limb applications using OpenSim

Area of Science:

• Biomechanics
• Musculoskeletal modeling
• Real-time systems

Background:

• Accurate real-time estimation of joint angles and moments is crucial for clinical, sports, and rehabilitation applications.
• Current methods often rely on approximations or generic models, limiting precision.
• There is a need for advanced systems capable of precise, real-time biomechanical analysis.

Purpose of the Study:

• To develop and validate a real-time system for calculating joint kinematics and kinetics using OpenSim.
• To achieve high-speed, low-latency biomechanical analysis without model simplifications.
• To demonstrate the potential for personalized musculoskeletal models in real-time clinical applications.

Main Methods:

• Implementation of a real-time system utilizing OpenSim for inverse kinematics and dynamics.
• System optimization for high-speed processing (2000 frames per second) and minimal delay (<31.5 ms).
• Software architecture design, sensitivity analyses for error and delay minimization, and comparison of offline vs. real-time results.

Main Results:

• The developed system successfully performs real-time inverse kinematics and dynamics calculations without simplifications.
• Achieved processing speeds of 2000 frames per second with a delay under 31.5 ms.
• Demonstrated high correlation between offline and real-time analysis results, validating the system's accuracy.

Conclusions:

• The presented real-time system offers a significant advancement over existing methods for biomechanical analysis.
• Its ability to use personalized musculoskeletal models in real-time can revolutionize rehabilitation practices.
• This technology holds potential for immediate impact in clinical settings, sports science, and rehabilitation.