3D Human Action Recognition

3D Action Recognition is an important sub-task in the field of computer vision, aiming to accurately identify and classify human behaviors by analyzing action data in three-dimensional space. The goal of this task is to extract features from continuous 3D action sequences and use machine learning and deep learning methods to model and differentiate various actions. 3D Action Recognition has broad application value in areas such as virtual reality, intelligent surveillance, and human-computer interaction, enhancing the intelligence level of systems and user experience.