Emotion Recognition Technologies
This cluster investigates the methods and technologies used for recognizing and interpreting human emotions through various modalities including audio, visual, and physiological signals. It contributes to the development of systems that can accurately assess emotional states and improve user interactions.
20,767 papers
Parent topic: Human-Computer Interaction and User Experience
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Papers Over Time
Top Papers
2010 · 2,672 citations
2000 · 2,179 citations
2009 · 2,073 citations
1993 · 1,998 citations
2001 · 1,647 citations
2001 · 1,608 citations
2011 · 1,468 citations
2010 · 1,202 citations
2019 · 1,192 citations
1997 · 1,187 citations
2012 · 1,166 citations
2017 · 989 citations
2000 · 978 citations
1980 · 841 citations
2008 · 819 citations
2014 · 790 citations
2010 · 772 citations
2014 · 759 citations
1993 · 747 citations
2005 · 738 citations