A review on EEG-based multimodal learning for emotion recognition

Emotion recognition from electroencephalography (EEG) signals is crucial for human–computer interaction yet poses significant challenges. While various techniques exist for detecting emotions through EEG signals, contemporary studies have explored the combination of EEG signals with other modalities. However, the field is still rapidly evolving, and new advancements are constantly being made. Comprehensive research is essential by distilling all factors in one manuscript to stay up-to-date with the latest research findings. This review offers an overview of multimodal leaning in EEG-based emotion recognition and discusses current literature in this domain from 2017 to 2024. Three primary challenges addressed…