Pre Existing Gesture

Pre-existing gestures, encompassing both natural human movements and those designed for human-computer interaction, are a focus of current research aiming to improve their recognition and generation using machine learning. Studies employ various approaches, including convolutional neural networks (CNNs) and large language models (LLMs), often combined with techniques like ensemble methods and few-shot learning to enhance accuracy and efficiency, particularly in scenarios with limited training data. This research is significant for advancing human-computer interaction, enabling more intuitive control of devices and systems, and offering potential applications in areas such as assistive technologies for individuals with communication impairments and autism diagnosis.