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Real-time estimation of EEG-based engagement in different tasks.

Angela NatalizioSebastian SieghartsleitnerLeonhard SchreinerMartin WalchshoferAntonio EspositoJosef ScharingerHarald PretlPasquale ArpaiaMarco ParvisJordi Sole-CasalsMarc Sebastián-RomagosaRupert OrtnerChristoph Guger
Published in: Journal of neural engineering (2024)
= 0.44, p < 0.001). Finally, theta and alpha band powers were investigated, which respectively increased and decreased during more engaging states.&#xD;Significance: This study proposes a task-specific EEG engagement estimation model with cross-task capabilities, offering a framework for real-world applications.
Keyphrases
  • working memory
  • functional connectivity
  • social media
  • resting state
  • transcranial magnetic stimulation
  • atomic force microscopy
  • mass spectrometry
  • high density