In recent years, with the rapid development of artificial intelligence, human activity
recognition has become a research focus. The complex, dynamic and variable features of …

Abstract Human Activity Recognition (HAR) is a crucial research focus in the body area
networks and pervasive computing domains. The goal of HAR is to examine activities from …

Product assembly is a crucial process in manufacturing plants. In Industry 4.0, the offer of
mass-customized products is expanded, thereby increasing the complexity of the …

With the development of closed-circuit television, video-based human motion recognition
has made great progress. A large number of surveillance video footages have been …

This study proposes an open-environment, multi-label human risk classification framework,
capable of identifying possible risks to which individuals appearing on input video data are …

The recognition of group activities using computer vision and pattern recognition methods
has been, and still remains, a challenging problem. Most of the research on human …

Chicken behavior recognition is crucial for a number of reasons, including promoting animal
welfare, ensuring the early detection of health issues, optimizing farm management …

Human activity recognition (HAR) constitutes a pivotal focal point of research within the
fields of Body Area Networks and Pervasive Computing. HAR aims to analyze and …

In this article, an Optimal Sensor Placement Algorithm (O-SPA) is designed for improving the
precision of human activity. This placement algorithm is designed based on the fact of …

Nowadays, the recognition of group activities is a significant problem, specially in video
surveillance. It is increasingly important to have vision architectures that automatically allow …