Mihaly Benda
Papers
1
Total Citations
16
H-Index
1
About
Mihaly Benda is a leading researcher at the intersection of brain-computer interfaces (BCIs) and virtual reality (VR), with a primary focus on developing intuitive, real-world assistive technologies. His most cited work, "SSVEP-Based BCI in Virtual Reality - Control of a Vacuum Cleaner Robot" (2018, 16 citations), demonstrates a groundbreaking approach by integrating steady-state visual evoked potentials (SSVEPs) with immersive VR environments. Benda’s major contribution lies in proving that SSVEP-based BCIs—which rely on brain signals triggered by flickering visual stimuli—can be effectively deployed outside of sterile lab settings to control physical robotic systems, such as a vacuum cleaner, through a VR interface. This work bridges the gap between neurotechnology and practical home assistance, offering a non-muscular control pathway for individuals with severe motor disabilities. By achieving robust performance in a dynamic VR context, Benda’s research has laid critical groundwork for future assistive BCI applications, highlighting how immersive environments can enhance user engagement and signal reliability. His findings continue to inspire innovations in neuroprosthetics and human-robot interaction, marking him as a key figure in translating BCI technology from theory into tangible, life-improving tools.
Research Focus
Key Achievements
Top Papers
- 1SSVEP-Based BCI in Virtual Reality - Control of a Vacuum Cleaner Robot16 citations · 2018