Papers
5
Total Citations
124
H-Index
4
About
Danyun Li’s research lies at the intersection of affective computing, human-robot interaction, and intelligent signal processing, with a focus on enabling machines to perceive and express human emotions. Her most cited work, an electroencephalogram (EEG) emotion recognition study (80 citations), pioneered a hybrid feature extraction method using empirical mode decomposition combined with optimal feature selection, capturing subtle multiscale neural dynamics. This foundational contribution to brain-computer interfaces is complemented by her work on facial expression recognition, where she fused 2D Gabor filters with Local Binary Patterns and extreme learning machines to achieve efficient, real-time classification. Li also introduced the novel concept of a 3-D Fuzzy Atmosfield for casual human-robot communication, modeling emotional states along friendly-hostile, lively-calm, and casual-formal axes—a creative framework for more natural interaction. Her research on speaker-independent speech emotion recognition further advanced feature selection through correlation analysis and Fisher criteria, reducing redundancy and computational cost. With over 120 total citations, Li’s work has shaped multimodal emotion recognition, bridging neural, facial, and vocal modalities. Her contributions are particularly valuable for developing socially aware robots and affective interfaces that respond intuitively to human emotional cues.
Research Focus
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