Anita Cebolla
Papers
1
Total Citations
7
H-Index
1
About
Anita Cebolla is a researcher at the forefront of non-invasive brain-computer interfaces (BCIs), with a particular focus on translating neural signals into practical, real-world applications. Her key research areas span EEG-based BCI systems, human-robot interaction, and the development of accessible neurotechnology. Cebolla’s most notable contribution is her pioneering work on using the consumer-grade MUSE EEG headband for alpha rhythm-based control of small robots, demonstrating that low-cost, dry-electrode devices can achieve functional BCI performance comparable to traditional clinical systems. Her 2020 study on this topic, which has garnered 7 citations, systematically compared the MUSE headband with a conventional gel-based ANT system, validating the feasibility of affordable, portable BCIs for industrial, clinical, and gaming contexts. This work is significant for democratizing neurotechnology, making BCI control more accessible to non-specialists. By bridging the gap between high-end laboratory equipment and everyday usability, Cebolla’s research opens new pathways for assistive robotics and adaptive human-machine interfaces, establishing her as a key contributor to the growing field of practical, user-friendly BCIs.
Research Focus
Key Achievements
Top Papers
- 1