Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces

Abstract

The Human Digital Twin (HDT) is a pivotal element in smart manufacturing systems geared towards Industry 5.0. HDT represents a digital manifestation of humans, aiming to innovate the integration between humans and systems by directly linking human characteristics to system design and performance. However, recent research lacks a standardized framework and architecture for HDT that can be applied across various real-world scenarios. This study introduces an approach that integrates 3D pose estimation through mono camera input and AR Glass, digitally twinning detailed work actions and human behavior of workers in a smart manufacturing environment. By facilitating effective monitoring of the work environment by managers, this approach contributes to boosting overall productivity. The paper discusses potential strategies to elevate the development of HDT and provides guidelines on possible directions and challenges for its advancement.