Antonio Moschitta

University of Perugia

Papers

6

Total Citations

104

H-Index

5

About

Antonio Moschitta is a leading researcher in magnetic positioning systems and wearable sensing technologies, with a focus on biomedical applications. His most impactful work centers on developing real-time tracking systems for Parkinson’s disease patients, where he has created innovative methods for tremor detection and trajectory estimation using magnetic measurements—a contribution that has garnered over 20 citations in a single paper. Moschitta’s research also extends to multi-node magnetic positioning architectures, enabling simultaneous tracking of up to six moving objects with high precision, as demonstrated in his 2020 publication with 11 citations. Notably, he pioneered a wirelessly powered wearable system for finger tracking and hand gesture recognition (34 citations), eliminating the need for cables or batteries and enhancing user mobility. His calibration techniques using robotic arms (27 citations) have significantly improved the accuracy of short-range magnetic positioning systems. More recently, Moschitta has ventured into environmental monitoring, surveying inline soil pollution measurement technologies. With a portfolio of highly cited papers and a clear translational impact—from clinical tremor monitoring to gesture-based interfaces—Moschitta stands out as an innovator bridging electromagnetic sensing, wearable tech, and healthcare.

Research Focus

Key Achievements

5
H-Index
6
Papers
104
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
A Wearable and Wirelessly Powered System for Multiple Finger Tracking
34 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University of Perugia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago