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Showing 1 to 5 of 5 for “"multimodal emotion recognition"”.

  1. Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality

    Multimodal emotion recognition has long been a popular topic in affective computing since it significantly enhances the performance compared with that of a single modality. Among all, the combination of electroencephalography (EEG) and eye movement signals is one of the most attractive practices …

    washington Repository record for Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality (opens in a new tab)

  2. Multimodal emotion recognition and speaker identification in financial conversations

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-20 without embargo terms

    uiuc Repository record for Multimodal emotion recognition and speaker identification in financial conversations (opens in a new tab)

  3. Enhancing mid-level fusion with attention-based dual labeling for multimodal emotion recognition

    Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01

    uiuc Repository record for Enhancing mid-level fusion with attention-based dual labeling for multimodal emotion recognition (opens in a new tab)

  4. How deep learning can help emotion recognition

    … system understand and respond to the human's emotions. Previous works in emotion recognition have focused on improving performance by incorporating domain knowledge into the underlying system either through pre-specified rules or hand-crafted features. However, in the last few years, learned …

    uiuc Repository record for How deep learning can help emotion recognition (opens in a new tab)