Several factors, including the dimension and locus of the limbs and head, and other pictures
within an environment, were used to determine the management of event identification and …

Supervising and examining the physical activities of different individuals by using wireless
sensors is beneficial in favor of recognizing postural positioning and moving actions in the …

In computer vision and inertial sensors, recent research focuses on monitoring and
identifying falls, as well as daily actions, through autonomous human action detection. In this …

Tracking human actions, especially in the field of medicine, has encouraged interest in
computer vision, specifically for detecting gait anomalies to aid in rehabilitating patients with …

Introduction Advanced traffic monitoring systems face significant challenges in vehicle
detection and classification. Conventional methods often require substantial computational …

Activity recognition from multiple sensors is a promising research area with various
applications for remote human activity tracking in surveillance systems. Human activity …

This research proposes a novel method that combines human pose estimation (HPE) and
sustainable event classification (SEC), focusing on skeleton and context-aware feature …

This paper presents an advanced approach to Human Pose Estimation (HPE) and Semantic
Event Classification (SEC), emphasizing the need for sophisticated human skeleton models …

Agricultural production is critical for economic stability and food security, consequently early
disease identification is essential for preserving plant health. Our study solves this need by …

Featured Application Under the constraints of limited resources in smart cities, it is
necessary to separate fish by gender in the early stages and raise them separately. This …