Matteo Virone
Papers
1
Total Citations
6
H-Index
1
About
Matteo Virone is a researcher advancing the field of human-machine interaction through innovative soft-matter electronics and machine learning. His primary research areas include hand gesture recognition, capacitive sensing, and stretchable printed electronics for wearable interfaces. Virone’s major contribution lies in developing a stretchable multi-layer capacitive array that enables dynamic hand gesture recognition without requiring physical contact—except for an unlocking mechanism. By integrating proximity sensing with a Support Vector Machine (SVM) classifier, his system achieves robust gesture detection for controlling robots, games, and other machines. His most-cited work (2021, 6 citations) demonstrates a practical, non-contact interface that combines printed electronics with intelligent classification, offering a path toward more intuitive and hygienic human-machine interfaces. This work highlights his ability to merge materials science with computational methods, creating soft, flexible sensors that can be seamlessly integrated into wearable devices. Virone’s research holds promise for applications in assistive technology, virtual reality, and industrial automation, where touchless control is increasingly valued.
Research Focus
Key Achievements
Top Papers
- 1