M. Fanton
Papers
1
Total Citations
13
H-Index
1
About
M. Fanton’s research lies at the intersection of neural engineering and human-robot interaction, with a primary focus on noninvasive brain-computer interfaces (BCIs). Their most cited work, a 2010 paper on a brain-controlled robotic platform, demonstrates a pioneering application of steady-state visual evoked potentials (SSVEPs) acquired via EEG to command an iRobot. This capstone project, led by four undergraduate students, showcased a practical, real-time BCI system that translated neural signals into robotic movement—a significant step toward accessible assistive technologies. With 13 citations, the study has informed subsequent developments in SSVEP-based control systems and low-cost BCI implementations. Fanton’s contribution highlights the potential of undergraduate-driven innovation in neuroprosthetics, merging rigorous signal processing with hands-on robotics. Their work underscores a commitment to democratizing BCI technology, offering a scalable model for integrating neural control into everyday devices.
Research Focus
Key Achievements
Top Papers
- 1