References

• 2019Emotion Recognition from Physiological Signal Analysis: A Review562 cited
• 2010Emotion Recognition of Affective Speech Based on Multiple Classifiers Using Acoustic-Prosodic Information and Semantic Labels267 cited
• 2020M3ER: Multiplicative Multimodal Emotion Recognition using Facial, Textual, and Speech Cues261 cited
• 2022Investigating EEG-based functional connectivity patterns for multimodal emotion recognition238 cited
• 2020Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion201 cited
• 2020EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle188 cited
• 2020A performance comparison of eight commercially available automatic classifiers for facial affect recognition186 cited
• 2019A survey of emotion recognition methods with emphasis on E-Learning environments182 cited
• 2023A systematic survey on multimodal emotion recognition using learning algorithms178 cited
• 2021Cross corpus multi-lingual speech emotion recognition using ensemble learning139 cited
• 2020Expression-EEG Based Collaborative Multimodal Emotion Recognition Using Deep AutoEncoder122 cited
• 2020A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition117 cited
• 2023GraphMFT: A graph network based multimodal fusion technique for emotion recognition in conversation117 cited