Multimodal Prediction of Affective Dimensions and Depression in Human-Computer Interactions

Abstract

Depression is one of the most common mood disorders. Technology has the potential to assist in screening and treating people with depression by robustly modeling and tracking the complex behavioral cues associated with the disorder (e.g., speech, language, facial expressions, head movement, body language). Similarly, robust affect recognition is another… (More)
DOI: 10.1145/2661806.2661810

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