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 …

Computer vision systems face significant challenges in human-human interaction
recognition in dynamic environments, particularly with cluttered backgrounds. In this paper …

Human Interaction Recognition (HIR) is a topic of extensive research, posing a challenge for
scholars to understand various human interactions and create reliable systems for their …

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

Indoor localization is a hot topic due to the rising demand for location-based services and
smartphone use. Actions in indoor spaces provide valuable information that systems can …

The rapid pace at which technology is develo** has resulted in a significant rise in the
intelligence of machines. These days, researchers are dedicated on giving machines human …

In computer vision and image processing, vehicle detection and tracking in complicated
aerial images have become important subjects. The need for automated systems that can …

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