Gianfranco Sorrenti
Papers
1
Total Citations
9
H-Index
1
About
Gianfranco Sorrenti is a researcher specializing in biomechanics, motion analysis, and the validation of wearable sensor technologies for human movement assessment. His work centers on the rigorous evaluation of magneto-inertial measurement units (M-IMUs) for upper-limb kinematic analysis, addressing critical needs in rehabilitation and ergonomic workplace assessments. His most-cited paper (2022, 9 citations) introduces a novel validation framework using an anthropomorphic robot to benchmark M-IMU accuracy against gold-standard optical motion capture, demonstrating how robotic platforms can eliminate human variability in sensor testing. This contribution is pivotal for establishing reliable, objective tools for clinical and occupational settings. Sorrenti’s research bridges engineering and healthcare, providing foundational evidence that supports the translation of wearable sensors from lab to real-world applications. By quantifying sensor performance under controlled conditions, his work enables more confident use of M-IMUs in patient monitoring and worker safety evaluations. His findings are increasingly referenced by researchers developing motion-tracking protocols for stroke rehabilitation and ergonomic risk assessment, marking him as an emerging authority in sensor-based human movement science.
Research Focus
Key Achievements
Top Papers
- 1