Human activity recognition (HAR) is an important research area in computer vision due to its
vast range of applications. Specifically, the past decade has witnessed enormous growth in …

This review article surveys extensively the current progresses made toward video-based
human activity recognition. Three aspects for human activity recognition are addressed …

Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …

Different types of research have been done on video data using Artificial Intelligence (AI)
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …

Activity Recognition and Classification is one of the most significant issues in the computer
vision field. Identifying and recognizing actions or activities that are performed by a person is …