Assessing single camera markerless motion capture with OpenSim inverse kinematics during upper limb activities of daily living.

ABSTRACT: This study evaluates the accuracy of single camera markerless motion capture (SCMoCap) using Microsoft's Azure Kinect, enhanced with inverse kinematics (IK) via OpenSim, for upper limb movement analysis. Twelve healthy adults performed ten upper-limb tasks, recorded simultaneously by OptiTrack (marker-based) and Azure Kinect (markerless) from frontal and sagittal views. Joint angles were calculated using two methods: (1) direct kinematics based on body coordinate frames and (2) inverse kinematics using OpenSim's IK tool with anatomical keypoints. Accuracy was evaluated using root mean square error (RMSE) and Bland-Altman analysis. Results indicated that the IK method slightly improved joint angle agreement with OptiTrack for simpler movements, with an average RMSE of 8° for shoulder elevat

SUBMITTER: Scott B 

PROVIDER: S-EPMC12416023 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature