A meta-model for modular composition of tailored human digital twins in production

Montini, Elias; Bettoni, Andrea; Ciavotta, Michele; Carpanzano, Emanuele; Pedrazzoli, Paolo

doi:10.1016/j.procir.2021.11.116

Cited by 18 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, human digital twins are beneficial in other fields besides healthcare. Having a human digital twin of operators in industrial settings can provide useful information on safety concerns with how the operator interacts with the present machines [ 82 , 92 , 93 , 94 , 95 ]. This has also been used to simulate human–robot interactions in factories as well [ 96 , 97 , 98 , 99 , 100 ].…”

Section: Discussionmentioning

confidence: 99%

Digital Twins for Healthcare Using Wearables

Johnson,

Saikia

2024

Bioengineering

View full text Add to dashboard Cite

Digital twins are a relatively new form of digital modeling that has been gaining popularity in recent years. This is in large part due to their ability to update in real time to their physical counterparts and connect across multiple devices. As a result, much interest has been directed towards using digital twins in the healthcare industry. Recent advancements in smart wearable technologies have allowed for the utilization of human digital twins in healthcare. Human digital twins can be generated using biometric data from the patient gathered from wearables. These data can then be used to enhance patient care through a variety of means, such as simulated clinical trials, disease prediction, and monitoring treatment progression remotely. This revolutionary method of patient care is still in its infancy, and as such, there is limited research on using wearables to generate human digital twins for healthcare applications. This paper reviews the literature pertaining to human digital twins, including methods, applications, and challenges. The paper also presents a conceptual method for creating human body digital twins using wearable sensors.

show abstract

Section: Discussionmentioning

confidence: 99%

Digital Twins for Healthcare Using Wearables

Johnson,

Saikia

2024

Bioengineering

View full text Add to dashboard Cite

show abstract

“…Because the majority of human self-behavior expansion in the manufacturing domain is the expansion of some occupational knowledge and behaviour, namely professional behaviour, researchers focus more on the expansion of human social behaviour and human self-behavior. Montini et al [35] proposed a meta-model of factory HDT, including human psychological, physiological and behavioral aspects, which provided a reference for building a unique HDT model. Greco et al [31] used HDT to debug human-computer interaction equipment.…”

Section: Industry Domainmentioning

confidence: 99%

Human Digital Twin: A Survey

Lin

Chen

Ali

et al. 2022

Preprint

View full text Add to dashboard Cite

Digital twin has recently attracted growing attention, leading to intensive research and applications. Along with this, a new research area, dubbed as "human digital twin" (HDT), has emerged. Similar to the conception of digital twin, HDT is referred to as the replica of a physical-world human in the digital world. Nevertheless, HDT is much more complicated and delicate compared to digital twins of any physical systems and processes, due to humans' dynamic and evolutionary nature, including physical, behavioral, social, physiological, psychological, cognitive, and biological dimensions. Studies on HDT are limited, and the research is still in its infancy. In this paper, we first examine the inception, development, and application of the digital twin concept, providing a context within which we formally define and characterize HDT based on the similarities and differences between digital twin and HDT. Then we conduct an extensive literature review on HDT research, analyzing underpinning technologies and establishing typical frameworks in which the core HDT functions or components are organized. Built upon the findings from the above work, we propose a generic architecture for the HDT system and describe the core function blocks and corresponding technologies. Following this, we present the state of the art of HDT technologies and applications in the healthcare, industry, and daily life domain. Finally, we discuss various issues related to the development of HDT and point out the trends and challenges of future HDT research and development.

show abstract

“…In particular, the project has developed an infrastructure (Clawdite Platform [74]) that allows the effortless creation of replicas of human workers through instantiating their digital counterparts. These HDTs have diverse features, encompassing static characteristics, dynamic data, and behavioral and functional models [73].…”

Section: Human-digital Twins In Quality Controlmentioning

confidence: 99%

Artificial Intelligence in Manufacturing

Chen

Wang

2022

Artificial Intelligence and Lean Manufacturing

View full text Add to dashboard Cite

use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

show abstract

A meta-model for modular composition of tailored human digital twins in production

Cited by 18 publications

References 21 publications

Digital Twins for Healthcare Using Wearables

Digital Twins for Healthcare Using Wearables

Human Digital Twin: A Survey

Artificial Intelligence in Manufacturing

Contact Info

Product

Resources

About