Appraisal dimensions outperform categorical emotion labels in multimodal affect recognition and maintain above-chance performance in cross-age generalization, unlike labels which drop to chance.
Muse-toolbox: The mul- timodal sentiment analysis continuous annotation fusion and discrete class transformation toolbox
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Enhancing multimodal affect recognition in healthcare: the robustness of appraisal dimensions over labels within age groups and in cross-age generalisation
Appraisal dimensions outperform categorical emotion labels in multimodal affect recognition and maintain above-chance performance in cross-age generalization, unlike labels which drop to chance.