Mariangela Berardinelli
Papers
1
Total Citations
7
H-Index
1
About
Mariangela Berardinelli’s research lies at the intersection of neural engineering, assistive robotics, and human–machine interfaces, with a focus on restoring mobility and independence for individuals with paralysis or limb loss. Her most cited work, “A Weightless Neural Network as a Classifier to Translate EEG Signals into Robotic Hand Commands” (2018, 7 citations), introduces a novel approach to decoding brain activity for real-time control of prosthetic hands. By employing a lightweight, efficient neural network architecture, Berardinelli demonstrates how electroencephalography (EEG) signals can be reliably translated into precise robotic commands, offering a practical, low-latency solution for brain–computer interfaces. This contribution addresses a critical challenge in assistive technology: creating intuitive, responsive control systems that improve quality of life for patients with severe motor impairments. Her work exemplifies a commitment to bridging computational neuroscience and clinical application, paving the way for more accessible, non-invasive prosthetic control. Berardinelli’s research continues to influence the development of intelligent, user-centered devices that empower individuals with disabilities, marking her as a promising voice in the field of neural rehabilitation and human–robot interaction.
Research Focus
Key Achievements
Top Papers
- 1