The uulmMAC database—A multimodal affective corpus for affective computing in human-computer interaction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Sensors ; 20 (2020), 8. - Art.-Nr. 2308. - eISSN 1424-8220
- Schlagwort
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Affective Computing
Maschinelles Lernen
Mensch-Maschine-Kommunikation
- Ereignis
-
Veröffentlichung
- (wo)
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Ulm
- (wer)
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Universität Ulm
- (wann)
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2020
- Urheber
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Hazer-Rau, Dilana
Meudt, Sascha
Daucher, Andreas
Spohrs, Jennifer
Hoffmann, Holger
Schwenker, Friedhelm
Traue, Harald C.
- DOI
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10.18725/OPARU-42835
- URN
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urn:nbn:de:bsz:289-oparu-42911-6
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
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Beteiligte
- Hazer-Rau, Dilana
- Meudt, Sascha
- Daucher, Andreas
- Spohrs, Jennifer
- Hoffmann, Holger
- Schwenker, Friedhelm
- Traue, Harald C.
- Universität Ulm
Entstanden
- 2020
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