An impact of EEG signals measuring time on motor imagery prediction accuracy

Authors

  • Andrii Zvolikevych National Aviation University

Keywords:

electroencephalography, brain computer interface, unmanned aerial vehicle

Abstract

A research of the influence of electroencephalography signal measurements time on the accuracy of motor images prediction for an unmanned aerial vehicle brain-computer interface controlled application.

Additional Files

Published

2025-03-28

Issue

2024: XI Всесвітній конгрес “Авіація в XXI столітті” – “Безпека в авіації та космічні технології”

Section

Automated intelligent control systems for technological processes and moving objects