Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Human action recognition (HAR) in RGB-D videos has been widely investigated since the
release of affordable depth sensors. Currently, unimodal approaches (eg, skeleton-based …

Human action recognition (HAR) has gained significant attention recently as it can be
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …

Human action recognition targets recognising different actions from a sequence of
observations and different environmental conditions. A wide different applications is …

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 …

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

Multimodal fusion frameworks for Human Action Recognition (HAR) using depth and inertial
sensor data have been proposed over the years. In most of the existing works, fusion is …

Human activity recognition (HAR) is an important research area in the fields of human
perception and computer vision due to its wide range of applications. These applications …

Vision-based human action recognition (HAR) is a hot topic of research from the decade due
to a few popular applications such as visual surveillance and robotics. For correct action …

Abstract Human Activity Recognition (HAR) based on wearable devices has always been a
hot topic in health applications, human-object interaction, and smart homes. Despite …