Canonical Correlation Analysis for Data Fusion in Multimodal Emotion Recognition

Multimodal emotion recognition systems aim at classifying emotion data, usually from different natures, into discrete affective categories. These systems fuse different modalities as each modality classifies the data from its own viewpoint and can compensate the limitations of others when combining...

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Bibliographic Details

Published in:	2018 9th International Symposium on Telecommunications (IST) pp. 676 - 681
Main Author:	Nemati, Shahla
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2018
Subjects:	CCA Correlation Data Fusion Data integration Emotion recognition Feature extraction Multimodal Physiology Synchronization Visualization
Online Access:	Get full text
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