New publication by REPAIRS from ESR14-Alessandro!

Our ESR14-Alessandro Bonfiglio published his first study on the Effects of IMU sensor-to-segment calibration on clinical 3D elbow joint angles estimation.

This study compares three calibration techniques, offering insights that could revolutionize accuracy in clinical settings. Discover how these findings might enhance your work in healthcare and rehabilitation. Dive into the full study here:
The study thoroughly compares three calibration techniques—N-Pose (NP), Functional Calibration (FC), and Manual Alignment (MA)—with MA recommended as the most effective for clinical accuracy in elbow joint measurements. Results showed that while NP was the quickest, it had the largest errors in joint angle estimations, making MA and FC preferable for clinical applications where precision is critical.

Congratulations to Alessandro and his supervisors!