Improving Individual-Specific SSVEP-BCI with Adaptive Channel and Subspace Selection in TRCA

The individual-specific steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) is characterized by individual calibration data, resulting in satisfactory performance. However, existing individual-specific SSVEP-BCIs employ generalized channels and task-related subspaces, w...

Descripció completa

Dades bibliogràfiques

Autors principals:	Hui Li, Guanghua Xu, Shanzheng Feng, Chenghang Du, Chengcheng Han, Jiachen Kuang, Sicong Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-02-01
Col·lecció:	Sensors
Matèries:	adaptive channel and subspace selection in TRCA (AS-TRCA) electroencephalography (EEG) optimal channel learning and selection (OCLS) optimal subspace selection (OSS) steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI)
Accés en línia:	https://www.mdpi.com/1424-8220/26/4/1123
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!