Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for Future Research.

ABSTRACT: Neuroergonomics focuses on the brain signatures and associated mental states underlying behavior to design human-machine interfaces enhancing performance in the cognitive and physical domains. Brain imaging techniques such as functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) have been considered key methods for achieving this goal. Recent research stresses the value of combining EEG and fNIRS in improving these interface systems' mental state decoding abilities, but little is known about whether these improvements generalize over different paradigms and methodologies, nor about the potentialities for using these systems in the real world. We review 33 studies comparing mental state decoding accuracy between bimodal EEG-fNIRS and unimodal EEG and fNIRS in severa

SUBMITTER: Bourguignon NJ 

PROVIDER: S-EPMC10790898 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature