From Digital Human Modeling to Human Digital Twin: Framework and Perspectives in Human Factors

The human digital twin(HDT)emerges as a promising human-centric technology in Industry 5.0,but challenges remain in human modeling and simulation.Digital human modeling(DHM)provides solutions for modeling and simulating human physical and cognitive aspects to support ergonomic analysis.However,it has limitations in real-time data usage,personalized services,and timely interaction.The emerging HDT concept offers new possibilities by integrating multi-source data and artificial intelligence for continuous monitoring and assessment.Hence,this paper reviews the evolution from DHM to HDT and proposes a unified HDT framework from a human factors perspective.The framework comprises the physical twin,the virtual twin,and the linkage between these two.The virtual twin integrates human modeling and AI engines to enable model-data-hybrid-enabled simulation.HDT can potentially upgrade traditional ergonomic methods to intelligent services through real-time analysis,timely feedback,and bidirectional interactions.Finally,the future perspectives of HDT for industrial applications as well as technical and social challenges are discussed.In general,this study outlines a human factors perspective on HDT for the first time,which is useful for cross-disciplinary research and human factors innovation to enhance the development of HDT in industry.

The Prosecutorial Protection of Digital Human Rights

In the digital age,the rise of digital human rights has become an important expansion in the field of human rights.When advancing digital prosecution strategies,prosecutorial agencies should pay greater attention to the protection of digital human rights.The fragile state of digital human rights and the unique position of prosecutorial agencies in human rights protection make it imperative that prosecutorial agencies place more emphasis on fulfilling their responsibilities in legal oversight to promote the protection of digital human rights.Currently,prosecutorial agencies have strengthened the protection of digital human rights through such measures as promoting legal oversight with big data,enhancing the handling of criminal cases involving citizens'digital human rights,expanding the scope of public interest litigation protecting digital human rights,and improving their roles in civil and administrative prosecution.However,there are still challenges related to the inadequacy of updating the mindset,the incompleteness of measures,and the lack of innovation in mechanisms and systems.Therefore,prosecutorial agencies should further align with the implementation of digital prosecution strategies,update their human rights protection concepts,intensify efforts to combat cybercrime,strengthen the protection of citizens'personal information through prosecution,enhance public interest protection of collective digital human rights through public interest litigation,and actively innovate prosecutorial work mechanisms and systems to bolster the protection of digital human rights.

The Concept of Digital Human Rights and Its Reshaping of Basic Rights

Whether a new generation of human rights emerges in the digital age has sparked widespread debate.Academic understanding of digital technology remains confined to thinking about network technology and products,often overlooking the revolutionary nature of digital media.Digital media has the sweeping potential to unify all forms of media and reshape social life,giving rise to new demands for a new generation of human rights.The concept of digital human rights can be defined as the legitimate rights of human's infinitely extended personalities through digital media.Its core characteristic is its transcendency,where every person lives in a networked space that surpasses physical boundaries,nations,and individual personalities.Human rights are generally considered the foundation for basic constitutional rights,which,in turn,form the basis for legislative acts across various sectors.In recent years,China has enacted numerous laws in the digital domain to keep pace with the times,but due to the lack of guidance on digital human rights,these laws tend to be fragmented and disjointed.It is urgent to unify digital legislation at all levels on the basis of reshaping basic constitutional rights.Thus,it is essential to reshape the basic rights based on the concept and characteristics of digital human rights and streamline legislation at all levels under the unified guidance of basic rights.This can help establish a comprehensive digital human rights protection system that meets the demands of the modern era.

Smart Data for Digital Humanities

The emergence of ＂Big Data＂ has been a dramatic development in recent years. Alongside it, a lesser-known but equally important set of concepts and practices has also come into being--＂Smart Data.＂ This paper shares the author＇s understanding of what, why, how, who, where, and which data in relation to Smart Data and digital humanities. It concludes that, challenges and opportunities co-exist, but it is certain that Smart Data, the ability to achieve big insights from trusted, contextualized, relevant, cognitive, predictive, and consumable data at any scale, will continue to have extraordinary value in digital humanities.

Applications and research trends of digital human models in the manufacturing industry

Virtual reality(VR)has been widely used in various manufacturing industries,and VR-based virtual manufacturing has received significant attention in the current intelligent manufacturing era.Digital human models(DHMs)are essential for virtual manufacturing applications.Additionally,researching new applications of DHMs has developed into an important academic research field.This paper aims to identify the applications and research trends of DHMs in the manufacturing industry and to provide a reference for the continued development of virtual manufacturing and DHMs.We selected a total of 49 related articles from a large number of articles published between 2014 and 2019.The applications of DHMs in the manufacturing industry are analyzed from different perspectives and various relevant technical limitations are discussed.The results indicate that the applications of DHMs differ significantly between different types of fields.The automotive industry is the main application field for DHMs,and assembly/maintenance simulations and evaluations are the main application types.Additionally,there are still some limitations in the establishment of virtual environments,motion control,and DHM evaluation that should be addressed.Finally,research trends in the application of DHMs are illustrated and discussed,including the planning and assessment of human-robot collaboration systems,the combination of DHMs and augmented reality,and improved motion planning for DHMs.In summary,the application of DHMs can improve the realism and effectiveness of virtual manufacturing,and DHMs will be more widely and deeply studied and applied in various manufacturing industries in the near future.

Producing Podcasts in a Chinese Classroom: A Digital Humanities Project

This action research which situates itself in the context of Digital Humanities focuses on engaging students of Introductory Chinese course with an assignment to create podcasts in the form of an interview.Requiring students to integrate the aural,oral,and textural information via technology so as to carry a conversation with an interlocutor challenges them to convey their thoughts from the language they think in into meaningful ideas using the target language.In this way,students are“pushed”to convert their listening,speaking,and writing from being isolated components into a more dynamic and cohesive mode of communicating.As they explore expressing their ideas in the language they are learning,they develop the skills and sensibility needed to critically analyze their own work.Although limited in scale,the podcast format urges students to transform what they need to learn into a familiar product.

Building Metaverse Digital Humanities Labs:Strategies and Challenges in Higher Education

The integration of metaverse technologies within the academic sphere is redefining the landscape of digital humanities research and education.This study examines the current state and future prospects of metaverse digital humanities laboratories in higher education institutions,highlighting their importance and the challenges they face.The research underscores the significance of these laboratories in fostering interdisciplinary collaboration,enhancing educational experiences,and promoting cultural preservation through digital means.The metaverse digital humanities laboratories are seen as crucial platforms for innovation,providing immersive environments that facilitate the application of advanced digital tools in humanities research.The study identifies key challenges,including the need for robust hardware infrastructure,the complexity of technology integration,data management concerns,and the necessity for ethical frameworks that address privacy and intellectual property rights.It also emphasizes the importance of user experience,interdisciplinary collaboration,and the development of a comprehensive talent cultivation system that aligns with the digital humanities.Strategies for the construction and development of these laboratories are proposed,such as accelerating metaverse infrastructure development,promoting the transformation of traditional digital humanities laboratories,and establishing mechanisms for data protection and resource sharing.The research also calls for the enhancement of user experiences through personalized services and the cultivation of talent through interdisciplinary educational programs.In conclusion,the metaverse digital humanities laboratories represent a strategic frontier in academic innovation,offering transformative potential for research and education in the humanities.The study provides a roadmap for the development of these laboratories,suggesting a comprehensive approach that addresses technological,pedagogical,ethical,and financial challenges,and emphasizing the importance of strategic planning and interdisciplinary collaboration in realizing their full potential.

Digital humanities affect: The evolution and revolution of spatial information organization in science fiction

The spatial information of literature refers to the representation of physical or conscious space in literary works,including position,shape,structure,features,and relationships.The spatial information organization and its method are essential to the whole process of literature production,circulation,acceptance,and reproduction,which is conducive to a deeper exploration of the aesthetic essence of literature in the information era.Taking the organization of spatial information in science fiction as an example,this paper investigates the way of interaction between informatics and literature,explores the function of spatial information in the narrative of science fiction,and discovers digital humanistic laws of literary information organization.This study finds that the spatial information of early science fiction is organized in horizontal,vertical,axial,and causal modes;in the era of digital humanities,influenced by information technology such as the internet,virtual reality,and artificial intelligence,literary space has experienced revolutions characteristic of time-space integration,boundary dissolution,dimensional change,and virtualization;the spatial information organization of contemporary science fiction adopts nested,reticulated,parallel,interactive,and reverse patterns;on the whole,it is featured with fluidity,chaos,correlation,and mutation,creating a unique digital humanistic spectacle.

Construction of Human Digital Twin Model Based on Multimodal Data and Its Application in Locomotion Mode Identifcation

With the increasing attention to the state and role of people in intelligent manufacturing, there is a strong demand for human-cyber-physical systems (HCPS) that focus on human-robot interaction. The existing intelligent manufacturing system cannot satisfy efcient human-robot collaborative work. However, unlike machines equipped with sensors, human characteristic information is difcult to be perceived and digitized instantly. In view of the high complexity and uncertainty of the human body, this paper proposes a framework for building a human digital twin (HDT) model based on multimodal data and expounds on the key technologies. Data acquisition system is built to dynamically acquire and update the body state data and physiological data of the human body and realize the digital expression of multi-source heterogeneous human body information. A bidirectional long short-term memory and convolutional neural network (BiLSTM-CNN) based network is devised to fuse multimodal human data and extract the spatiotemporal features, and the human locomotion mode identifcation is taken as an application case. A series of optimization experiments are carried out to improve the performance of the proposed BiLSTM-CNN-based network model. The proposed model is compared with traditional locomotion mode identifcation models. The experimental results proved the superiority of the HDT framework for human locomotion mode identifcation.

Integrated Framework for Vehicle Interior Design Using Digital Human Model

Evaluating the human friendliness of vehicles is essential for designing new vehicles since large numbers of human-machine interactions occur frequently inside vehicles. In this research, we develop an integrated framework for vehicle interior design using a digital human model （DHM）. In this framework, the knowledge-based parametric modelling function of vehicles is implemented using a commercial computer-aided design （CAD） system. The combination of the DHM and the CAD system enables designers into carry out ergonomic evaluations of various human-vehicle interactions and understand the effects of modifications of vehicle design parameters on occupants during designing. Further, the information on human-vehicle interaction obtained using this system can be transmitted to dedicated biomechanical analysis software. By analysing human motions inside vehicles using such software, we can obtain optimized interior design parameters.

Gone full circle:A radial approach to visualize event-based networks in digital humanities

In the application domain of digital humanities network visualization is increasingly being used to conduct research as the main interests of the domain experts lie in exploring and analyzing relationships between entities and their changes over time.Visualizing the dynamics and different perspectives of such data is a non-trivial task but it enables researchers to explore connections between disparate entities and investigate historical narratives that emerge.In this paper we present Circular,an interactive exploration environment to visualize event-based networks and support research in digital humanities through visualization of historical subjects in space and time.Our radial design is the result of iterative collaboration with domain experts,and we discuss the process of collaborative development and exploration of public music festivities in Vienna as an example of immersive development methodology.We validate our approach by means of both domain and visualization expert interviews and show the potential of this approach in supporting the visual exploration of historical subjects.We discuss our design rationales,visual encodings,and interactions as to allow the reproducibility of this approach within a framework of transdisciplinary collaboration with digital humanities.

Modernization and the Diversity of Human Rights Among Civilizations--Review of the 2023 China-europe Seminar on Human Rights

Human rights are an achievement of humanity and a symbol of progress.Respect for and protection of human rights are basic principles of modern civilization.Around the world,countries and regions have chosen different paths to modernization,which are rooted in their unique civilizations.to promote exchanges and mutual learning among civilizations,facilitate human rights exchanges and cooperation between different countries,and advance the global development of human rights,on September 20,2023,the 2023 China-europe Seminar on Human Rights was held in Rome,the capital of Italy.Under the theme of“Modernization and the Diversity of Human Rights Among Civilizations,”the seminar focused on discussing topics such as exchanges and mutual learning among civilizations and the development of modern human rights philosophy,modernization and the free and well-rounded development of every person,sustainable development in the process of modernization,and the evolution of the civilization of human rights in the digital age.participants reached the following consensuses at the event:First,the participants from various countries spoke highly of the great achievements that China has made in human rights cause and fully recognized China’s contributions in promoting the development and progress of the global human rights cause;Second,the participants from all countries agreed that it is necessary to discard the concept of“Western-centrism,”transcend the mindset of“cultural superiority,”promote human rights exchanges and mutual learning among civilizations on the basis of equality and mutual respect,and inject new impetus into the diversity of human rights among civilizations;third,participants reaffirmed that human rights represent an open concept,and that we should discuss the development of human rights with an open mind and jointly promote the progress of human rights in the world.

Building International Consensus and Working Together to Advance the Development of the Global Human Rights Cause—Summary of Academic Views at the Forum on Global Human Rights Governance

On June 14-15,2023,the Forum on Global Human Rights Governance,jointly hosted by the State Council Information Office,the Ministry of Foreign Affairs,and the China International Development Cooperation Agency,was held in Beijing under the theme of“Equality,Cooperation and Development:The 30th Anniversary of the Vienna Declaration and Programme of Action and Global Human Rights Governance.”Participants conducted in-depth discussions and exchanges on topics such as“International Cooperation and Global Human Rights Governance,”“Global Development Initiative and the Realization of the Right to Development”,“Global Security Initiative and Human Rights Protection,”“UN Human Rights Mechanisms and Global Human Rights Governance,”and“Human Rights Protection in the Digital Age.”The event helped build international consensus and yielded fruitful achievements.

Development and application of digital assistive teaching system for anatomy

Background Anatomy is a required course for all medicine-related industries.In recent decades,the teaching quality and effect of anatomy have been compromised by factors including a decrease in human body specimens,dampened enthusiasm for the discipline,reduced teaching hours of anatomy,scale expansion of medical education,and obstacles in performing field autopsies and observations.Methods Based on China's digitalized visible human research achievements,this article extracts the boundary information of anatomic structures from tomographic images,constructs three dimensional(3D)digital anatomical models with authentic texture information,and develops an anatomy assistive teaching system for teachers and students based on the knowledge points of anatomy,to meet the anatomy teaching requirements of different majors at various levels.Results This scientific,complete,and holistic system has produced over 60003D digital anatomical models,5000 anatomy knowledge points,50 anatomical operation videos,and 150 micro demonstration classes,with teaching contents for different majors and levels,such as systematic anatomy,topographic anatomy,sectional anatomy,anatomy of motion,and virtual anatomical operation table.Ranging from network terminals,desktops,touchscreen 3D displays,desktops,and projection 3D volumetric displays to augmented reality,its diversified interactive forms meet the requirements for a learning environment in different settings.Conclusions With multiple teaching and learning links covered,such as teaching environment,teaching resources,instructional slides,autonomous learning,and learning effect evaluation,this novel teaching system serves as a vital component and a necessary resource in anatomy teaching and functions as an important supplement to traditional anatomy teaching.Applied and promoted in most medical colleges and schools in China,this system has been recognized and approved by anatomy teachers and students,and plays a positive role in guaranteeing the effect and quality of anatomy teaching.

Extraction of Feature Points for Non-Uniform Rational B-Splines(NURBS)-Based Modeling of Human Legs

Methods of digital human modeling have been developed and utilized to reflect human shape features.However,most of published works focused on dynamic visualization or fashion design,instead of high-accuracy modeling,which was strongly demanded by medical or rehabilitation scenarios.Prior to a high-accuracy modeling of human legs based on non-uniform rational B-splines(NURBS),the method of extracting the required quasi-grid network of feature points for human legs is presented in this work.Given the 3 D scanned human body,the leg is firstly segmented and put in standardized position.Then re-sampling of the leg is conducted via a set of equidistant cross sections.Through analysis of leg circumferences and circumferential curvature,the characteristic sections of the leg as well as the characteristic points on the sections are then identified according to the human anatomy and shape features.The obtained collection can be arranged to form a grid of data points for knots calculation and high-accuracy shape reconstruction in future work.

Information Models for Forecasting Nonlinear Economic Dynamics in the Digital Era

The aim of this study was to develop an adequate mathematical model for long-term forecasting of technological progress and economic growth in the digital age (2020-2050). In addition, the task was to develop a model for forecast calculations of labor productivity in the symbiosis of “man + intelligent machine”, where an intelligent machine (IM) is understood as a computer or robot equipped with elements of artificial intelligence (AI), as well as in the digital economy as a whole. In the course of the study, it was shown that in order to implement its goals the Schumpeter-Kondratiev innovation and cycle theory on forming long waves (LW) of economic development influenced by a powerful cluster of economic technologies engendered by industrial revolutions is most appropriate for a long-term forecasting of technological progress and economic growth. The Solow neoclassical model of economic growth, synchronized with LW, gives the opportunity to forecast economic dynamics of technologically advanced countries with a greater precision up to 30 years, the time which correlates with the continuation of LW. In the information and digital age, the key role among the main factors of growth (capital, labour and technological progress) is played by the latter. The authors have developed an information model which allows for forecasting technological progress basing on growth rates of endogenous technological information in economics. The main regimes of producing technological information, corresponding to the eras of information and digital economies, are given in the article, as well as the Lagrangians that engender them. The model is verified on the example of the 5th information LW for the US economy (1982-2018) and it has had highly accurate approximation for both technological progress and economic growth. A number of new results were obtained using the developed information models for forecasting technological progress. The forecasting trajectory of economic growth of developed countries (on the example of the USA) on the upward stage of the 6th LW (2018-2042), engendered by the digital technologies of the 4th Industrial Revolution is given. It is also demonstrated that the symbiosis of human and intelligent machine (IM) is the driving force in the digital economy, where man plays the leading role organizing effective and efficient mutual work. Authors suggest a mathematical model for calculating labour productivity in the digital economy, where the symbiosis of “human + IM” is widely used. The calculations carried out with the help of the model show: 1) the symbiosis of “human + IM” from the very beginning lets to realize the possibilities of increasing work performance in the economy with the help of digital technologies;2) the largest labour productivity is achieved in the symbiosis of “human + IM”, where man labour prevails, and the lowest labour productivity is seen where the largest part of the work is performed by IM;3) developed countries may achieve labour productivity of 3% per year by the mid-2020s, which has all the chances to stay up to the 2040s.

A language to analyze, describe, and explore collections of visual art

A vast quantity of art in existence today is inaccessible to individuals.If people want to know the different types of art that exist,how individual works are connected,and how works of art are interpreted and discussed in the context of other works,they must utilize means other than simply viewing the art.Therefore,this paper proposes a language to analyze,describe,and explore collections of visual art(LadeCA).LadeCA combines human interpretation and automatic analyses of images,allowing users to assess collections of visual art without viewing every image in them.This paper focuses on the lexical base of LadeCA.It also outlines how collections of visual art can be analyzed,described,and explored using a LadeCA vocabulary.Additionally,the relationship between LadeCA and indexing systems,such as ICONCLASS or AAT,is demonstrated,and ways in which LadeCA and indexing systems can complement each other are highlighted.

Providing universal access to Japanese humanities digital libraries:an approach to federated searching system using automatic metadata mapping

We present our approach for constructing a federated searching system for Japanese humanities digital libraries using automatic metadata mapping.We discuss some achievements in the ongoing research to construct a federated searching system. The goals of this system are(1) to perform metadata mapping automatically for Japanese heterogeneous humanities digital libraries and(2) to let users access multiple humanities digital libraries by using only one query input.The proposed automatic metadata mapping method produced the average mapping precision of 94.9%.We also address the metadata-related challenges facing Japanese humanities databases.

Computational Approaches for Traditional Chinese Painting: From the “Six Principles of Painting” Perspective

Traditional Chinese painting(TCP)is an invaluable cultural heritage resource and a unique visual art style.In recent years,there has been a growing emphasis on the digitalization of TCP for cultural preservation and revitalization.The resulting digital copies have enabled the advancement of computational methods for a structured and systematic understanding of TCP.To explore this topic,we conduct an in-depth analysis of 94 pieces of literature.We examine the current use of computer technologies on TCP from three perspectives,based on numerous conversations with specialists.First,in light of the“Six Principles of Painting”theory,we categorize the articles according to their research focus on artistic elements.Second,we create a four-stage framework to illustrate the purposes of TCP applications.Third,we summarize the popular computational techniques applied to TCP.This work also provides insights into potential applications and prospects,with professional opinion.

The Dynamic System Theory of Legal Protection for Personal Information Rights Infringement

The advent of the big data era has presented unprecedented challenges to remedies for personal information infringement in areas such as damage assessment,proof of causation,determination of illegality,fault assessment,and liability.Traditional tort law is unable to provide a robust response for these challenges,which severely hinders human rights protection in the digital society.The dynamic system theory represents a third path between fixed constitutive elements and general clauses.It both overcomes the rigidity of the“allor-nothing”legal effect evaluation mechanism of the“element-effect”model and avoids the uncertainty of the general clause model.It can effectively enhance the flexibility of the legal system in responding to social changes.In light of this,it is necessary to construct a dynamic foundational evaluation framework for personal information infringement under the guidance of the dynamic system theory.By relying on the dynamic interplay effect of various foundational evaluation elements,this framework can achieve a flexible evaluation of the constitutive elements of liability and the legal effects of liability for personal information infringement.Through this approach,the crisis of personal information infringement in the era of big data can be mitigated,and the realization of personal information rights as digital human rights can be promoted.