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1 Ergebnisse
1
Reproducible Assessment of Valence and Arousal Based on an ..:
, In:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
,
Apicella, Andrea
;
Arpaia, Pasquale
;
Cataldo, Andrea
... - p. 661-666 , 2022
Link:
https://doi.org/10.1109/MetroXRAINE54828.2022.9967651
RT T1 <cTitle>2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)</cTitle>: T1 <Title>Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9967651&Exemplar=1&LAN=DE A1 Apicella, Andrea A1 Arpaia, Pasquale A1 Cataldo, Andrea A1 D'Errico, Giovanni A1 Marocco, Davide A1 Mastrati, Giovanna A1 Moccaldi, Nicola A1 Pollastro, Andrea A1 Ricciardi, Bernadette A1 Vallefuoco, Ersilia YR 2022 K1 Headphones K1 Emotion recognition K1 Correlation K1 Extended reality K1 Wearable computers K1 Neural engineering K1 Metrology K1 valence K1 arousal K1 EEG K1 few-channels K1 common spatial pattern SP 661 OP 666 LK http://dx.doi.org/https://doi.org/10.1109/MetroXRAINE54828.2022.9967651 DO https://doi.org/10.1109/MetroXRAINE54828.2022.9967651 SF ELIB - SuUB Bremen
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