Emotional Expression

Emotional expression research aims to understand how humans convey and perceive emotions through various modalities, including facial expressions, speech, body language, and even contextual cues. Current research focuses on developing robust multimodal models, often employing deep learning architectures like transformers, convolutional neural networks, and variational autoencoders, to classify and generate emotional expressions from diverse data sources. This work is significant for advancing human-computer interaction, improving mental health diagnostics, and mitigating biases in AI systems that process and generate emotional content.