Action Recognition System

Action recognition systems aim to automatically identify and classify human actions within video data, a crucial task with applications ranging from healthcare monitoring to robotics. Current research emphasizes improving robustness and adaptability, focusing on models like spatio-temporal graph convolutional networks and convolutional neural networks, often incorporating techniques like transfer learning and test-time adaptation to handle variations in data distribution and limited training data. These advancements are driving progress in diverse fields, enabling more effective applications in areas such as assistive technologies, security, and human-computer interaction.