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1 Ergebnisse
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The uulmMAC database—A multimodal affective corpus for affe..:
Hazer-Rau, Dilana
;
Meudt, Sascha
;
Daucher, Andreas
...
http://dx.doi.org/10.18725/OPARU-42835. , 2022
Link:
https://doi.org/10.18725/OPARU-42835
RT Journal T1
The uulmMAC database—A multimodal affective corpus for affective computing in human-computer interaction
UL https://suche.suub.uni-bremen.de/peid=base-ftunivulm:oai:oparu.uni-ulm.de:123456789_42911&Exemplar=1&LAN=DE A1 Hazer-Rau, Dilana A1 Meudt, Sascha A1 Daucher, Andreas A1 Spohrs, Jennifer A1 Hoffmann, Holger A1 Schwenker, Friedhelm A1 Traue, Harald C PB Universität Ulm YR 2022 K1 affective corpus K1 multimodal sensors K1 overload K1 underload K1 cognitive load K1 stress research K1 DDC 004 / Data processing & computer science K1 DDC 150 / Psychology K1 DDC 620 / Engineering & allied operations K1 Interest K1 Frustration K1 Emotion recognition K1 Machine learning K1 Human-computer interaction K1 Affective Computing K1 Maschinelles Lernen K1 Mensch-Maschine-Kommunikation JF http://dx.doi.org/10.18725/OPARU-42835 LK http://dx.doi.org/https://doi.org/10.18725/OPARU-42835 DO https://doi.org/10.18725/OPARU-42835 SF ELIB - SuUB Bremen
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