Daniele Sili
Papers
1
Total Citations
15
H-Index
1
About
Daniele Sili is a researcher at the forefront of human-machine interaction, specializing in surface electromyography (sEMG), gesture recognition, and low-cost, customizable sensor technologies. His most-cited work, "Inkjet-printed fully customizable and low-cost electrodes matrix for gesture recognition" (2021, 15 citations), introduces a breakthrough approach to fabricating sEMG electrode arrays. By leveraging inkjet printing, Sili enables the rapid, affordable production of personalized electrode matrices that can be tailored to individual anatomy—a critical advancement for prosthetic control, rehabilitation devices, and muscle-computer interfaces. This innovation democratizes access to high-quality biosignal acquisition, reducing barriers for both researchers and clinicians. His contributions directly address the growing demand for intuitive, non-invasive control systems, where sEMG-based gesture recognition is pivotal for translating residual muscular activity into precise device commands. Sili’s work bridges materials science and biomedical engineering, offering scalable solutions that enhance the functionality and accessibility of assistive technologies. With a focus on practical, user-centered design, his research continues to shape the future of wearable electronics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1