Revolutionizing Big Data Assessment for Human Activity Recognition with Metapath Context and Bi-directional Cascade Networks
Abstract Human activity recognition focuses on automatically detecting and classifying what individuals are doing, utilizing data gathered from sensors or video feeds. Challenges include interpreting complex activities, handling imbalanced data classes, ensuring privacy in video-based methods, and achieving efficiency...