Brain–Computer Interface Contributions to Neuroergonomics - Archive ouverte HAL Access content directly
Book Sections Year : 2019

Brain–Computer Interface Contributions to Neuroergonomics

(1) , (2)
1
2

Abstract

Brain-Computer Interfaces (BCIs) are systems that can translate brain activity patterns into messages or commands for an interactive application. As such the technology used to design them, and in particular to design passive BCIs which are a new means to perform mental state monitoring, can greatly benefit the neuroergonomics field. Therefore, this chapter describes the classical structure of the brain signal processing chain employed in BCIs, notably presenting the typically used preprocessing (spatial and spectral filtering, artefact removal), feature extraction and classification algorithms. It also gives examples of the use of BCI technology for neuroergonomics applications, either offline for evaluation purposes (e.g. cockpit design or stereoscopic displays’ assessment), or online for adaptation purposes (e.g. video game difficulty level or air traffic controller display adaptation).
Fichier principal
Vignette du fichier
Chapter_BCI_Neuroergonomics.pdf (229.46 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01946095 , version 1 (05-12-2018)

Identifiers

  • HAL Id : hal-01946095 , version 1

Cite

Fabien Lotte, Raphaëlle N. Roy. Brain–Computer Interface Contributions to Neuroergonomics. Neuroergonomics: The Brain at Work and in Everyday Life, Elsevier, pp.43-48, 2019. ⟨hal-01946095⟩

Collections

CNRS INRIA INRIA2
146 View
1035 Download

Share

Gmail Facebook Twitter LinkedIn More