High-Frequency SSVEP Control for Mobile Navigation
Author Information
Author(s): Diez Pablo F, Mut Vicente A, Avila Perona Enrique M, Laciar Leber Eric
Primary Institution: Gabinete de Tecnología Médica (GATEME), Facultad de Ingeniería, Universidad Nacional de San Juan, San Juan, Argentina
Hypothesis
Can high-frequency SSVEP-based asynchronous BCI effectively control mobile object navigation?
Conclusion
The proposed method allows all subjects to control a mobile object and reach a target without prior training.
Supporting Evidence
- The method achieved classification accuracies from 65% to 100%.
- Information Transfer Rate varied from 9.4 to 45 bits/min.
- Subjects could control the mobile object without prior training.
Takeaway
This study shows that people can use their brain signals to control a moving ball on a screen, making it easier for those who need help moving around.
Methodology
The study used EEG signals from six subjects to control a mobile object through different scenarios, processing signals with Fourier transform.
Limitations
The study was limited to a small sample size and specific scenarios, which may not generalize to all users.
Participant Demographics
Six subjects, ages 32 ± 3; 1 female and 5 male.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website