Peer-reviewedCC BYSensors (Basel, Switzerland)
MetaIDNet: A Fast Brain–Computer Interface for Color Vision Assessment
- 1The Department of Electrical and Computer Engineering, University at Albany, , Albany, NY 12222, USA
Related
- A Retrospective Real-World Assessment of Motor Status After Stroke Using a Home-Based Brain-Computer Interface
- Brain-writing-BERT for generalizable handwriting brain-computer interface
- Integrating Brain-Computer Interface and Neuromorphic Computing for Human Digital Twins
- Motor imagery EEG signal classification using SAGAN-based data augmentation and ResNet-18 for brain–computer interface applications
- Brain‐computer interface training for motor recovery after stroke
BibTeX
@article{habibzadeh2026metaidnet,
title = {{MetaIDNet: A Fast Brain–Computer Interface for Color Vision Assessment}},
author = {Hadi Habibzadeh and Daphney-Stavroula Zois and James J. S. Norton},
journal = {Sensors (Basel, Switzerland)},
year = {2026},
month = sep,
url = {https://europepmc.org/article/PMC/PMC13667617},
note = {CC BY},
}
RIS
TY - JOUR
TI - MetaIDNet: A Fast Brain–Computer Interface for Color Vision Assessment
AU - Hadi Habibzadeh
AU - Daphney-Stavroula Zois
AU - James J. S. Norton
PY - 2026
DA - 2026/09/30
JO - Sensors (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13667617
SN - 1424-8220
ER -