Multimodal inverse kinematics significantly improves IMU-based biomechanical analyses.

ABSTRACT: In musculoskeletal simulations, IMU-based approaches are often compromised by errors such as joint angle drift and offset errors due to calibration inaccuracies. These errors can compromise the accuracy of both kinematic and dynamic outcomes. This study presents a simulation-based investigation that uses synthetic inertial and positional data to systematically assess the potential of integrating spatial reference information into IMU-driven inverse kinematics analyses. Optical motion capture data was captured and error-free kinematic and dynamic data was created based on the optical motion capture data. The error-free data was then used as a reference. Based on this reference data, synthetic orientation and position data was created, incorporating a range of error types and magnitudes (e.g

SUBMITTER: Wechsler I 

PROVIDER: S-EPMC12738565 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature