A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder

A calibration procedure is required in motor imagery-based brain-computer interface (MI-BCI) to tune the system for new users. This procedure is time-consuming and prevents na\"ive users from using the system immediately. Developing a subject-independent MI-BCI system to reduce the calibration...

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Veröffentlicht in:	arXiv.org 2022-04
Hauptverfasser:	Ayoobi, Navid, Elnaz Banan Sadeghian
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Calibration Deep learning Feature extraction Filter banks Human-computer interface Machine learning
Online-Zugang:	Volltext
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