The deep learning techniques have achieved great success in the application of human
activity recognition (HAR). In this paper, we propose a technique for HAR that utilizes the …

As the world′ s largest sport, football has affected a wide area and a large number of
participants and had a great impact on political economy and culture, which has become the …

Human activity recognition has been a branch of interest in the field of computer vision for
decades, due to its numerous applications in different domains, such as medicine …

Human action classification is a dynamic research topic in computer vision and has
applications in video surveillance, human–computer interaction, and sign-language …

This paper proposes an action recognition framework for depth map sequences using the
3D Space-Time Auto-Correlation of Gradients (STACOG) algorithm. First, each depth map …

This study presents a novel method to recognize human physical activities using CNN
followed by LSTM. Achieving high accuracy by traditional machine learning algorithms,(such …

This paper presents a simple, fast and efficacious system to promote the human action
classification outcome using the depth action sequences. Firstly, the motion history images …

The method of marking video clips with action symbols is known as vision-based human
activity recognition. Robust solutions to this problem have a variety of practical …

Human action recognition is an active research area in computer vision. Aiming at the lack of
spatial muti-scale information for human action recognition, we present a novel framework to …

Volleyball teaching is one of the traditional contents of physical education in our country. It
plays an extremely important role in improving students' volleyball skills, promoting their …