Paolo Dondero
Papers
1
Total Citations
16
H-Index
1
About
Paolo Dondero is a researcher whose work sits at the intersection of wearable technology, biomechanics, and human motion analysis. His primary focus is on developing and validating accessible, sensor-based systems for tracking upper limb movements, with a particular emphasis on improving measurement accuracy in real-world environments. His most cited work, a 2020 study on the "Measurement Accuracy of an Upper Limb Tracking System Based on Two Hillcrest Labs BNO080 IMU Sensors," demonstrates his core contribution: rigorously assessing the performance of low-cost, dual inertial measurement unit (IMU) devices. By analyzing a system of two wired BNO080 sensors connected to a central control unit, Dondero provided critical data on the viability of such tools for remote clinical or rehabilitation monitoring. This paper, with 16 citations, has helped establish benchmarks for accuracy in non-laboratory settings. Dondero’s research is notable for bridging the gap between high-end motion capture and practical, affordable solutions, making him a key figure in the push toward democratized biomechanical assessment.
Research Focus
Key Achievements
Top Papers
- 1