
A methodological framework for the real-time adaptation of classifiers for non-invasive brain-computer interfaces towards the control of home automation systems
Author(s) -
Ezequiel Simeoni
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.20868/upm.thesis.70833
Subject(s) - adaptation (eye) , human–computer interaction , computer science , automation , control (management) , brain–computer interface , artificial intelligence , data science , psychology , engineering , neuroscience , electroencephalography , mechanical engineering