Improving the Performance of Electrotactile Brain–Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials

Traditional tactile brain–computer interfaces (BCIs), particularly those based on steady-state somatosensory–evoked potentials, face challenges such as lower accuracy, reduced bit rates, and the need for spatially distant stimulation points. In contrast, using transient electrical stimuli offers a p...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Marija Novičić, Olivera Djordjević, Vera Miler-Jerković, Ljubica Konstantinović, Andrej M. Savić
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2024-12-01
Ráidu:	Sensors
Fáttát:	brain–computer interface (BCI) somatosensory event-related potentials (sERPs) electrical stimulation tactile attention tactile BCI feature selection
Liŋkkat:	https://www.mdpi.com/1424-8220/24/24/8048
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!