Michele Raggi
Papers
1
Total Citations
3
H-Index
1
About
Michele Raggi is a researcher at the forefront of human motion analysis, with a particular focus on wearable sensor technology and its applications in rehabilitation and sports science. His work centers on developing advanced algorithms for Magneto-Inertial Measurement Units (MIMUs), enabling precise kinematic assessment without reliance on magnetic field references. Raggi’s most cited paper, “Magnetic-free Extended Kalman Filter for upper limb kinematic assessment in Yoga” (2021), introduces a novel filtering approach that enhances motion tracking accuracy in real-world settings, such as virtual coaching and movement rehabilitation. This contribution addresses a critical challenge in MIMU-based motion capture—magnetic distortion—and has garnered attention for its practical implications. Although his citation count is still growing, Raggi’s work represents a significant step toward accessible, reliable human motion analysis, bridging the gap between clinical assessment and recreational applications like yoga. His research holds promise for advancing personalized rehabilitation and virtual training systems, marking him as an emerging voice in the field of wearable technology and biomechanics.
Research Focus
Key Achievements
Top Papers
- 1