Human Digital Twin System for Operator Safety and Work Management

Kim, Goo-Young; Kim, Donghun; Noh, Sang Do; Han, Hong Ku; Kim, Nam Geun; Kang, Yong-Shin; Choi, Seung Hyun; Go, Dong Hyun; Song, Jungmin; Lee, Dae Yub; Kim, Hyung Sun

doi:10.1007/978-3-031-16411-8_61

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Advanced robots and automation tools are no longer seen merely as replacements but as collaborative partners that can operate alongside humans to minimize risks and hazards. These intelligent systems can predict potential safety breaches and adjust operations in real time, ensuring a proactive approach to safety workplaces [ 5 ].…”

Section: Sate Of the Artmentioning

confidence: 99%

“…Considering the goal of this work, which is to create an efficient HDT within the scope of safety and productivity in industrial environments from a humanistic perspective in which workers physical and mental domains are well understood, none of the scientific papers currently published present a solution that involves all aspects related to safety in the industrial workplace. For instance, some papers [ 3 , 5 , 9 , 12 , 13 , 14 ] present a cyber-physical system solution to gather physiological data of operators and construction worker through different physical sensors, which can be analyzed through specific designed interfaces. However, none of them expands the safety scope to the relationship between worker emotional safety and well-being piloted by AI models.…”

Section: Sate Of the Artmentioning

confidence: 99%

“…Digital Twins, in this context, provide a granular view of worker health, well-being, and interaction with industrial systems, which enables HSE professionals to anticipate potential threats, simulate various safety scenarios, and innovate evidence-backed strategies. For instance, if an HDT can predict fatigue or high stress levels in a worker operating heavy machinery, immediate interventions, such as breaks or rotations, can be recommended, circumventing potential hazards [ 5 ].…”

Section: Sate Of the Artmentioning

confidence: 99%

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Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics

Davila-Gonzalez,

Martin

2024

Sensors

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This research introduces a conceptual framework designed to enhance worker safety and well-being in industrial environments, such as oil and gas construction plants, by leveraging Human Digital Twin (HDT) cutting-edge technologies and advanced artificial intelligence (AI) techniques. At its core, this study is in the developmental phase, aiming to create an integrated system that could enable real-time monitoring and analysis of the physical, mental, and emotional states of workers. It provides valuable insights into the impact of Digital Twins (DT) technology and its role in Industry 5.0. With the development of a chatbot trained as an empathic evaluator that analyses emotions expressed in written conversations using natural language processing (NLP); video logs capable of extracting emotions through facial expressions and speech analysis; and personality tests, this research intends to obtain a deeper understanding of workers’ psychological characteristics and stress levels. This innovative approach might enable the identification of stress, anxiety, or other emotional factors that may affect worker safety. Whilst this study does not encompass a case study or an application in a real-world setting, it lays the groundwork for the future implementation of these technologies. The insights derived from this research are intended to inform the development of practical applications aimed at creating safer work environments.

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Section: Sate Of the Artmentioning

confidence: 99%

Section: Sate Of the Artmentioning

confidence: 99%

Section: Sate Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics

Davila-Gonzalez,

Martin

2024

Sensors

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“…Representative HDT applications in different lifecycle phases are presented including product design, production, optimization, and maintenance. As an example for production phase, an HDT system operator safety and worker management were proposed by Kim et al [110] as illustrated in Figure 4. Mobile devices and motion capture equipment gather real-time location coordinates and musculoskeletal data to implement digital human modeling in virtual environments.…”

Section: Human Digital Twin (Hdt) In the Context Of Industry 50mentioning

confidence: 99%

Synopsis of Industry 5.0 Paradigm for Human-Robot Collaboration

Yitmen,

Almusaed

2024

Artificial Intelligence

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This chapter explores the synopsis of the Industry 5.0 paradigm, focusing on Human-robot collaboration, encompassing critical elements from following the progression of evolution from Industry 4.0 to Industry 5.0 to the implementation of cutting-edge technologies and human-centric approaches within this framework. Industry 5.0 paradigm shift builds upon the foundation laid by Industry 4.0, with a renewed focus on integrating human intelligence and creativity with the capabilities of robots. The Operator of Industry 5.0 embodies the idea of skilled human operators working alongside automated systems to optimize performance and efficiency. Industry 5.0 technologies encompass collaborative robots (cobots) and advancements in robot learning, enabling safe and efficient collaboration between humans and machines and facilitating dynamic partnerships in shared workspaces. Human-centric approaches within Industry 5.0 technologies ensure that technological advancements align with human needs and preferences, fostering a work environment where humans and robots collaborate harmoniously. The concept of the Human Digital Twin offers a compelling instrument for identifying and optimizing human behavior within the context of Industry 5.0, enabling organizations to tailor processes and workflows to individual capabilities and preferences.

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“…Today's technologies are primarily designed and used with a focus on maximizing organizational/operational performance instead of human well-being and societal growth and prosperity, prioritizing full automation of tasks per se, that sometimes creates trust issues rather than empowering the human in the task [11]. However, researchers have started to investigate how technologies such as for example digital twins and artificial intelligence may help to improve worker situations and enhance human centricity [12,13].…”

Section: Enabling Technologiesmentioning

confidence: 99%

Industry 5.0 and Manufacturing Paradigms: Craft Manufacturing - A Case from Boat Manufacturing

Henriksen,

Thomassen

2023

IFIP Advances in Information and Communication Technology

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Industry 5.0 is emerging as a novel approach in manufacturing, with focus on sustainability, resilience, and human centricity. This study investigates the complex and comprehensive Industry 5.0 concept, its relevance for the craft manufacturing paradigm and the role of technology in the industry transition towards Industry 5.0. Findings are based on empirical data from a research and development project with Norwegian leisure boat manufacturers, and results of previous research projects within the boat building industry. The boat building industry is a traditional hand-craft industry with high degree of manual labour. Findings show that this industry have several suitable conditions for developing strong capabilities related to sustainability, resilience, and human centricity. The investigated case companies, characterized as craft manufacturers, seem to have limited knowledge of both Industry 4.0 and Industry 5.0. Despite that previous research projects have included technological elements, advanced technologies are still scarce in production processes.

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Human Digital Twin System for Operator Safety and Work Management

Cited by 5 publications

References 12 publications

Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics

Human Digital Twin in Industry 5.0: A Holistic Approach to Worker Safety and Well-Being through Advanced AI and Emotional Analytics

Synopsis of Industry 5.0 Paradigm for Human-Robot Collaboration

Industry 5.0 and Manufacturing Paradigms: Craft Manufacturing - A Case from Boat Manufacturing

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