Semantic Gesture

Semantic gesture research focuses on understanding and generating human gestures that convey meaning, going beyond simple movement recognition to capture the nuanced relationship between gesture and speech or other modalities. Current research employs various deep learning architectures, including transformers, convolutional neural networks, and generative adversarial networks, often incorporating multimodal data (audio, video, text) and contrastive learning techniques to learn robust gesture representations. This work is significant for advancing human-computer interaction, particularly in virtual and augmented reality, robotics, and accessibility technologies, as well as for furthering our understanding of human communication and cognition.