Impact of age, VR, immersion, and spatial resolution on classifier performance for a MI-based BCI

There are many factors outlined in the signal processing pipeline that impact brain–computer interface (BCI) performance, but some methodological factors do not depend on signal processing. Nevertheless, there is a lack of research assessing the effect of such factors. Here, we investigate the impac...

Full description

Bibliographic Details
Main Author: Blanco-Mora, D. A. (author)
Other Authors: Aldridge, A. (author), Jorge, C. (author), Vourvopoulos, A. (author), Figueiredo, P. (author), Bermúdez i Badia, S. (author)
Format: article
Language:eng
Published: 2022
Subjects:
Motor imagery
Brain–computer interfaces
Virtual reality
Classifier performance
EEG
.
Faculdade de Ciências Exatas e da Engenharia
Online Access:http://hdl.handle.net/10400.13/4452
Country:Portugal
Oai:oai:digituma.uma.pt:10400.13/4452

Internet

http://hdl.handle.net/10400.13/4452

Similar Items