Nadia Mammone
Papers
1
Total Citations
2
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About
Nadia Mammone is a leading researcher in the field of brain-computer interfaces (BCIs), with a particular focus on assistive robotics and non-invasive biosignal processing. Her work centers on developing practical, real-time systems that translate neural and ocular signals into control commands for robotic devices, aiming to restore autonomy for individuals with severe motor disabilities. In her highly cited 2023 study, Mammone introduced an embedded electrooculography (EOG)-based BCI system for robotic control, addressing a critical challenge in the field: the need for fast and accurate command generation. By leveraging four distinct types of EOG signals, her system demonstrated a robust and efficient method for translating eye movements into robotic actions, paving the way for more intuitive and responsive assistive technologies. Her contributions are not only advancing the theoretical understanding of BCI design but also bridging the gap between laboratory research and real-world applications. With a growing citation impact, Mammone’s work is shaping the future of human-machine interaction, offering tangible hope for enhanced quality of life through neurotechnology.
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Top Papers
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