Advances in Human Action, Activity and Gesture Recognition

A set of advanced approaches and models on human action, activity, gesture, and behavior recognition related aspects along with associated challenges are summarized in this note. Notably, Video-based human activity recognition, sensor-based activity analysis, skeleton-based activity recognition, assisted daily living, anomaly detection, facial expression and emotion analysis, gesture and sign language are highlighted in the works. This special issue also introduced six new datasets, while exploring a total of 55 different datasets in its 21 research articles. Apart from the the areas covered in this issue, research on multi-modal analysis, action quality assessment, real-time applications, and activity and behavior computing on edge devices are some of the dominant future challenges to deal with. We firmly believe that the original works and ideas presented in this special issue will serve as helpful references for the relevant research communities in the journey towards a brighter future.