Human detection and activity recognition is very important research area in the healthcare,
video surveillance, pedestrian detection, intelligent vehicle system and home care center …

Human Action Recognition (HAR) is the classification of an action performed by a human.
The goal of this study was to recognize human actions in action video sequences. We …

Human action recognition is an important application domain in computer vision. Its primary
aim is to accurately describe human actions and their interactions from a previously unseen …

In recent years, Convolutional Neural Networks (CNNs) have been extensively used for
human action recognition. However, training a convolutional neural network by limited data …

Traditional recommendation systems using collaborative filtering (CF) approaches work
relatively well when the candidate videos are sufficiently popular. With the increase of user …

Detecting and classifying human actions in videos is one of the current challenges in visual
content analysis and mining. This paper presents a method for performing a finegrained …

Human action recognition (HAR) in untrimmed videos can make insightful predictions of
human behaviour. Previous work on HAR‐included models trained on spatial and temporal …

Human Activity recognition (HAR) is an important area of research in ubiquitous computing
and Human Computer Interaction. To recognize activities using mobile or wearable sensor …

Physical education teaching is conducive to the cultivation of students' lifelong sports
consciousness, which can improve students' health and enhance their physique. In order to …

Over the past few years, Action Recognition task has drawn considerable interests, leading
to intensive researches. This is mainly due to the variety of related applications, from …