Zero-shot gesture recognition

Zero-shot gesture recognition is a computer vision technique designed to identify and understand new gestures without prior training on specific gesture samples. This technology achieves accurate recognition of unknown gestures by leveraging existing knowledge and contextual information, thereby expanding the application scope of gesture recognition and enhancing the flexibility and adaptability of the system. Its core objective is to reduce data annotation costs and improve the model's generalization capabilities, with widespread applications in human-computer interaction, virtual reality, and intelligent surveillance.