Alan Floriano
Papers
4
Total Citations
70
H-Index
4
About
Alan Floriano is a pioneering researcher at the intersection of assistive robotics and neural engineering, whose work focuses on developing brain-computer interfaces (BCIs) for individuals with severe physical disabilities. His primary research areas include steady-state visual evoked potentials (SSVEP), compressive sensing, and non-contact physiological sensing for human-robot interaction. Floriano’s most impactful contribution is his 2022 study on CCA-based compressive sensing for SSVEP-BCIs to command robotic wheelchairs (40 citations), which demonstrated how EEG-driven systems can bypass motor deficits entirely, offering unprecedented autonomy to users with conditions like locked-in syndrome. His earlier work on high-frequency SSVEP from below-the-hairline areas (2019, 18 citations) addressed practical challenges of electrode placement, making BCIs more comfortable and accessible. Floriano also explores emotion detection in children with Autism Spectrum Disorder using remote photoplethysmography (2019, 4 citations), integrating cardiac activity monitoring into social robots. With cumulative citations approaching 70, his research bridges signal processing, neuroscience, and robotics, advancing real-world BCI applications that restore mobility and social interaction for vulnerable populations.
Research Focus
Key Achievements
Top Papers
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