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1 Ergebnisse
1
EEG-based system for Executive Function fatigue detection:
, In:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Apicella, Andrea
;
Arpaia, Pasquale
;
De Blasiis, Paolo
... - p. 656-660 , 2022
Link:
https://doi.org/10.1109/MetroXRAINE54828.2022.9967542
RT T1 <cTitle>2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>EEG-based system for Executive Function fatigue detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9967542&Exemplar=1&LAN=DE A1 Apicella, Andrea A1 Arpaia, Pasquale A1 De Blasiis, Paolo A1 Calce, Anna Della A1 Fullin, Allegra A1 Gargiulo, Ludovica A1 Maffei, Luigi A1 Mancino, Francesca A1 Moccaldi, Nicola A1 Pollastro, Andrea A1 Vallefuoco, Ersilia YR 2022 K1 Instruments K1 Pipelines K1 Signal processing K1 Fatigue K1 Feature extraction K1 Electroencephalography K1 Complexity theory K1 gait analysis K1 working memory K1 inhibition EEG K1 feasibility study SP 656 OP 660 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE54828.2022.9967542 DO https://doi.org/10.1109/MetroXRAINE54828.2022.9967542 SF ELIB - SuUB Bremen
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