HIGHLIGHTS
- who: Continuous-Time Emotion Recognition et al. from the Department of Electronic Engineering, Inha University, Incheon, South Korea have published the article: Multimodal Attention Network for Continuous-Time Emotion Recognition Using Video and EEG Signals, in the Journal: (JOURNAL)
- what: The associate editor coordinating the review of this manuscript and approving it for publication was Shiqing Zhang 203814 feature such as power spectral density (PSD) is extracted, and a typical machine_learning algorithm is applied to recognize emotions . The authors propose an algorithm that recognizes emotional changes in continuous-time domain by using video and EEG . . .
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