Nikolaos Zacharioudakis
Papers
1
Total Citations
8
H-Index
1
About
Dr. Nikolaos Zacharioudakis is a leading researcher in the field of brain-computer interfaces (BCIs), with a primary focus on non-invasive neurotechnology for assistive robotics and human-machine interaction. His most cited work, "Application of dry EEG electrodes on low-cost SSVEP-based BCI for robot navigation" (2022, 8 citations), represents a significant contribution to making BCI systems more practical and accessible. Dr. Zacharioudakis specializes in steady-state visual evoked potentials (SSVEP), developing cost-effective EEG-based systems that enable individuals with neuromuscular disorders to control robotic devices through brain signals alone. His research addresses critical challenges in BCI implementation, including the transition from traditional wet electrodes to dry electrode systems, which dramatically improves user comfort and setup time without sacrificing signal quality. By demonstrating successful robot navigation using low-cost, dry-electrode BCIs, his work has opened new possibilities for affordable assistive technologies. Dr. Zacharioudakis’s contributions are particularly valuable for their focus on real-world applicability, bridging the gap between laboratory-grade neurotechnology and practical, everyday assistive devices that can enhance independence and quality of life for people with severe motor disabilities.
Research Focus
Key Achievements
Top Papers
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