Machine learning systems for multimodal affect recognition
Auteur :
Kächele, Markus
Éditeur :
Springer Fachmedien Wiesbaden
ISBN :
9783658286736
Date de publication :
3 déc. 2019
Dimensions :
21,0 x 14,8 cm
Langue :
Anglais
Pays d'origine :
Allemagne
Markus Kächele offers a detailed view on the different steps in the affective computing pipeline, ranging from corpus design and recording over annotation and feature extraction to post-processing, classification of individual modalities and fusion in the context of ensemble classifiers.