Sandro Fioretti
Papers
6
Total Citations
107
H-Index
4
About
Sandro Fioretti’s research lies at the intersection of assistive robotics and biomedical signal processing, with a focus on enhancing autonomy for individuals with motor disabilities. His pioneering work on navigation systems for powered wheelchairs—most notably the 2000 paper cited 62 times—introduced modular, user-centered designs that balance autonomy with security, enabling safer mobility in daily activities. By integrating usability and acceptability criteria, Fioretti helped transform standard wheelchairs into intelligent robotic aids, a contribution that remains foundational in assistive technology. In recent years, Fioretti has advanced the field of myoelectric control, particularly through the use of complexity measures like fuzzy entropy and permutation entropy for hand gesture characterization from EMG signals (2020, 24 citations). His systematic comparisons of these parameters have improved the reliability of gesture recognition, a critical step for intuitive prosthetic and exoskeleton control. Notably, his investigations into gender-based differences in shank and thigh muscle myoelectric signals (2014) highlight the importance of personalized design in robotic systems. With over 100 citations across his work, Fioretti’s research continues to shape safer, more adaptive assistive technologies, bridging robotics and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 4Influence of gender on the myoelectric signal of shank muscles8 citations · 2014
- 5Influence of gender on the myoelectric signal of thigh muscles2 citations · 2014
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