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Multimodale Emotionserkennung mithilfe von Deep-Learning-Netzwerken

Multimodale Emotionserkennung mithilfe von Deep-Learning-Netzwerken

Jaykumar Vala / Udesang Jaliya

103,86 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2025
Materia
Tecnología: cuestiones generales
ISBN:
9786209373060
103,86 €
IVA incluido
Disponible

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Sobre IBD

Das Buch 'Multimodal Emotion Recognition Using Deep Learning Networks' befasst sich mit der Verbesserung der Emotionserkennung durch die Kombination mehrerer Datenquellen (Modalitäten) wie Gesichtsausdrücke, EEG und physiologische Signale. Deep-Learning-Modelle werden verwendet, um Merkmale aus jeder Modalität zu extrahieren, und Fusionstechniken (wie der Late-Fusion-Ansatz) integrieren diese Merkmale, um genauere Emotionsvorhersagen zu machen. Die Studie zeigt, dass die multimodale Fusion die Leistung im Vergleich zu Systemen mit nur einer Modalität erheblich steigert, was die Bedeutung der Kombination von komplementären emotionalen Hinweisen unter Verwendung fortschrittlicher neuronaler Netzwerkarchitekturen unterstreicht.

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