Papers
Topics
Authors
Recent
Search
2000 character limit reached

Towards the Human Digital Twin: Definition and Design -- A survey

Published 3 Feb 2024 in cs.HC, cs.AI, and cs.DB | (2402.07922v1)

Abstract: Human Digital Twins (HDTs) are a fast-emerging technology with significant potential in fields ranging from healthcare to sports. HDTs extend the traditional understanding of Digital Twins by representing humans as the underlying physical entity. This has introduced several significant challenges, including ambiguity in the definition of HDTs and a lack of guidance for their design. This survey brings together the recent advances in the field of HDTs to guide future developers by proposing a first cross-domain definition of HDTs based on their characteristics, as well as eleven key design considerations that emerge from the associated challenges.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (119)
  1. A survey on digital twin: Definitions, characteristics, applications, and design implications. IEEE Access, 7:167653–167671, 2019.
  2. Service computing for industry 4.0: State of the art, challenges, and research opportunities. ACM Comput. Surv., 54, 10 2021.
  3. Digital twin: Origin to future. Applied System Innovation, 4:36, 3 2021.
  4. Maged N Kamel Boulos and Peng Zhang. Digital twins: From personalised medicine to precision public health. Journal of Personalized Medicine, 11, 2021.
  5. Towards continuous monitoring in personalized healthcare through digital twins. In Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, pages 329–335. IBM Corp., 2019.
  6. B Danette Allen. Digital twins and living models at nasa, 2021.
  7. David Gelernter. Mirror Worlds: or The Day Software Puts the Universe in a Shoebox… How it Will Happen and What it Will Mean. Oxford University Press, 1993.
  8. Digital twin: Enabling technologies, challenges and open research. IEEE Access, 8:108952–108971, 2020.
  9. Industry 4.0: Digital twin and its industrial applications. RIET-IJSET International Journal of Science Engineering and Technology, 8, 8 2020.
  10. Digital twin and internet of things—current standards landscape. Applied Sciences, 10:6519, 9 2020.
  11. Michael Grieves. Digital twin: Manufacturing excellence through virtual factory replication. 3 2015.
  12. Modeling, simulation, information technology & processing roadmap, 11 2010.
  13. A proposal to evolving towards digital twins in healthcare. In Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, and Francisco Ortuño, editors, Bioinformatics and Biomedical Engineering, pages 418–426. Springer International Publishing, 2020.
  14. Digital twin driven human–robot collaborative assembly. CIRP Annals, 68:499–502, 2019.
  15. Digital twin and virtual reality based methodology for multi-robot manufacturing cell commissioning. Applied Sciences, 10, 2020.
  16. Machine learning-based digital twin for predictive modeling in wind turbines. IEEE Access, 10:14184–14194, 2022.
  17. Toward a web-based digital twin thermal power plant. IEEE Transactions on Industrial Informatics, 18:1716–1725, 2022.
  18. Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties. Applied Energy, 305:117899, 2022.
  19. Digital twin and cybergis for improving connectivity and measuring the impact of infrastructure construction planning in smart cities. ISPRS International Journal of Geo-Information, 9, 2020.
  20. A digital twin smart city for citizen feedback. Cities, 110:103064, 2021.
  21. D Sudaroli Vijayakumar. Chapter eleven - digital twin in consumer choice modeling. In Pethuru Raj and Preetha Evangeline, editors, The Digital Twin Paradigm for Smarter Systems and Environments: The Industry Use Cases, volume 117, pages 265–284. Elsevier, 2020.
  22. An appraisal of literature for design and implementation of developing a framework for digital twin and validation through case studies. Health and Technology, 10:1229–1237, 2020.
  23. Digital-Twins of composite aerostructures towards Structural Health Monitoring. 6 2021.
  24. Digital twin design for thermal power plant cooling system using fuzzy system. In 2021 14th IEEE International Conference on Industry Applications (INDUSCON), pages 661–666, 2021.
  25. Integrating 2d and 3d digital plant information towards automatic generation of digital twins. In 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), pages 460–467, 2020.
  26. Embedding data analytics and cfd into the digital twin concept. Computers & Fluids, 214:104759, 1 2021.
  27. Framework for remaining useful life prediction of casting roller in continuous casting machine based on digital twin. In 2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI), pages 17–22, 2021.
  28. The role of ai, machine learning, and big data in digital twinning: A systematic literature review, challenges, and opportunities. IEEE Access, 9:32030–32052, 2021.
  29. Reducing hba1c in type 2 diabetes using digital twin technology-enabled precision nutrition: A retrospective analysis. Diabetes Therapy, 11:2703–2714, 2020.
  30. Digital twin: a state-of-the-art review of its enabling technologies, applications and challenges. Journal of Intelligent Manufacturing and Special Equipment, 2021.
  31. Visualisation of the digital twin data in manufacturing by using augmented reality. Procedia CIRP, 81:898–903, 2019.
  32. A Bravo and A M Maier. Immersive visualisations in design: Using augmented reality (ar) for information presentation. Proceedings of the Design Society: DESIGN Conference, 1:1215–1224, 2020.
  33. Maggie Mashaly. Connecting the twins: A review on digital twin technology & its networking requirements. Procedia Computer Science, 184:299–305, 2021.
  34. Prisma 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ, 372, 2021.
  35. Digital transformation revolution with digital twin technology. In 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pages 1–7, 2020.
  36. The digital twin revolution in healthcare. In 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pages 1–7, 2020.
  37. A vision for leveraging the concept of digital twins to support the provision of personalised cancer care. IEEE Internet Computing, page 1, 2021.
  38. Matthias Braun. Represent me: please! towards an ethics of digital twins in medicine. Journal of Medical Ethics, 47:394, 6 2021.
  39. Derrick Tupper De Kerckhove. The personal digital twin, ethical considerations. Philosophical Transactions of the Royal Society A, 379, 2021.
  40. The use of digital twins in healthcare: socio-ethical benefits and socio-ethical risks. Life Sciences, Society and Policy, 17:6, 2021.
  41. A data- and model-driven approach for cancer treatment. Der Onkologe, 25:132–137, 2019.
  42. A smart iot platform for oncology patient diagnosis based on ai: Towards the human digital twin. Procedia CIRP, 104:1686–1691, 2021.
  43. A systematic stochastic design strategy achieving an optimal tradeoff between peak bgl and probability of hypoglycaemic events for individuals having type 1 diabetes mellitus. Biomedical Signal Processing and Control, 57:101813, 2020.
  44. Retrospective study of glycemic variability, bmi, and blood pressure in diabetes patients in the digital twin precision treatment program. Scientific Reports, 11:14892, 2021.
  45. A digital twin platform for diagnostics and rehabilitation of multiple sclerosis. In Beniamino, Misra Sanjay, Garau Chiara, Blečić Ivan, Taniar David, Apduhan Bernady O., Rocha Ana Maria A.C., Tarantino Eufemia, Torre Carmelo Maria, Karaca Yeliz Gervasi Osvaldo, and Murgante, editors, Computational Science and Its Applications – ICCSA 2020, pages 503–518. Springer International Publishing, 2020.
  46. Digital biomarkers in multiple sclerosis. Brain Sciences, 11, 2021.
  47. Digital twins for multiple sclerosis. Frontiers in Immunology, 12, 2021.
  48. Neuromusculoskeletal modeling-based prostheses for recovery after spinal cord injury. Frontiers in Neurorobotics, 13:97, 2019.
  49. Non-invasive approaches to functional recovery after spinal cord injury: Therapeutic targets and multimodal device interventions. Experimental Neurology, 339:113612, 2021.
  50. Health@hand a visual interface for ehealth monitoring. In 2019 IEEE Symposium on Computers and Communications (ISCC), pages 1093–1096, 2019.
  51. Conceptual framework of digital health public emergency system: digital twins and multiparadigm simulation. page 164261, 3 2020.
  52. Harnessing the power of smart and connected health to tackle covid-19: Iot, ai, robotics, and blockchain for a better world. IEEE Internet of Things Journal, PP:1, 3 2021.
  53. A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. Computer Methods and Programs in Biomedicine, 170:95–106, 2019.
  54. Cardio twin: A digital twin of the human heart running on the edge. In 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pages 1–6, 2019.
  55. The ‘digital twin’ to enable the vision of precision cardiology. European Heart Journal, 41:4556–4564, 12 2020.
  56. Hrc-sos: Human robot collaboration experimentation platform as system of systems. In 2019 14th Annual Conference System of Systems Engineering (SoSE), pages 206–211, 2019.
  57. A digital twin-driven human-robot collaborative assembly approach in the wake of covid-19. Journal of Manufacturing Systems, 60:837–851, 2021.
  58. Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration. Journal of Manufacturing Systems, 58:261–269, 2021.
  59. A study on intelligent manufacturing industrial internet for injection molding industry based on digital twin. Complexity, 2021:8838914, 2021.
  60. Human centric digital transformation and operator 4.0 for the oil and gas industry. IEEE Access, PP:1, 3 2021.
  61. A meta-model for modular composition of tailored human digital twins in production. Procedia CIRP, 104:689–695, 2021.
  62. Digital twin coaching for physical activities: A survey. Sensors, 20, 2020.
  63. Human digital twin for fitness management. IEEE Access, 8:26637–26664, 2020.
  64. Dtcoach: Your digital twin coach on the edge during covid-19 and beyond. IEEE Instrumentation & Measurement Magazine, 24:22–28, 2021.
  65. Smart mirror with virtual twin. In 2019 International Conference on Advancements in Computing (ICAC), pages 238–243, 2019.
  66. Wael Hafez. Human digital twin: Enabling human-multi smart machines collaboration. In Yaxin Bi, Rahul Bhatia, and Supriya Kapoor, editors, Intelligent Systems and Applications, pages 981–993. Springer International Publishing, 2019.
  67. Health 4.0: Digital twins for health and well-being. In Abdulmotaleb El Saddik, M Shamim Hossain, and Burak Kantarci, editors, Connected Health in Smart Cities, pages 143–152. Springer International Publishing, 2020.
  68. Avi Shaked. Modeling for rapid systems prototyping: Hospital situational awareness system design. Systems, 9, 2021.
  69. Worker in the loop: A framework for enabling human-robot collaborative assembly. In Alexandre Dolgui, Alain Bernard, David Lemoine, Gregor von Cieminski, and David Romero, editors, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, pages 275–283. Springer International Publishing, 2021.
  70. Openpose. https://github.com/CMU-Perceptual-Computing-Lab/openpose. Accessed: 2024-02-02.
  71. Wearable motion sensors and digital biomarkers in stroke rehabilitation. Current Directions in Biomedical Engineering, 6:229–232, 2020.
  72. Exploiting social media to enhance clinical decision support. In IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume, pages 244–249. Association for Computing Machinery, 2019.
  73. Designing a cyber-physical system for ambient assisted living: A use-case analysis for social robot navigation in caregiving centers. Sensors, 20, 2020.
  74. Are digital twins becoming our personal (predictive) advisors? In Qin Gao and Jia Zhou, editors, Human Aspects of IT for the Aged Population. Healthy and Active Aging, pages 250–268. Springer International Publishing, 2020.
  75. Digital twin for intelligent context-aware iot healthcare systems. IEEE Internet of Things Journal, 8:16749–16757, 2021.
  76. Digital twins in critical care: What, when, how, where, why? IFAC-PapersOnLine, 54:310–315, 2021.
  77. An iso/ieee 11073 standardized digital twin framework for health and well-being in smart cities. IEEE Access, 8:105950–105961, 2020.
  78. R Lutze. Digital twin based software design in ehealth - a new development approach for health / medical software products. In 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), pages 1–9, 2020.
  79. The transparency of big data, data harvesting and digital twins. In Hamid Jahankhani, Stefan Kendzierskyj, Arshad Jamal, Gregory Epiphaniou, and Haider Al-Khateeb, editors, Blockchain and Clinical Trial: Securing Patient Data, pages 139–148. Springer International Publishing, 2019.
  80. Bas de Boer. Experiencing objectified health: turning the body into an object of attention. Medicine, Health Care and Philosophy, 23:401–411, 2020.
  81. Dov Greenbaum. Making compassionate use more useful: Using real-world data, real-world evidence and digital twins to supplement or supplant randomized controlled trials. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 26:38–49, 8 2021.
  82. Digital twins: A general overview of the biopharma industry. In Christoph Herwig, Ralf Pörtner, and Johannes Möller, editors, Digital Twins: Applications to the Design and Optimization of Bioprocesses, pages 167–184. Springer International Publishing, 2021.
  83. Real patient and its virtual twin: Application of quantitative systems toxicology modelling in the cardiac safety assessment of citalopram. The AAPS Journal, 20:6, 2017.
  84. Mawgan: A generative adversarial network to create synthetic data from datasets with missing data. Electronics, 11, 2022.
  85. Efficiency of the memory polynomial model in realizing digital twins for gait assessment. In 2019 27th European Signal Processing Conference (EUSIPCO), pages 1–5, 2019.
  86. Mining electronic health records (ehrs): A survey. ACM Comput. Surv., 50, 1 2018.
  87. A modular computational framework for medical digital twins. Proceedings of the National Academy of Sciences, 118:e2024287118, 2021.
  88. R Lutze. Digital twins in ehealth – : Prospects and challenges focussing on information management. In 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), pages 1–9, 2019.
  89. Predictive modeling in neurocritical care using causal artificial intelligence. World Journal of Critical Care Medicine, 10:112–119, 3 2021.
  90. Avatars and embodied agents in experimental information systems research: A systematic review and conceptual framework. Australasian Journal of Information Systems, 23, 10 2019.
  91. Being an avatar "for real": a survey on virtual embodiment in augmented reality. IEEE Transactions on Visualization and Computer Graphics, page 1, 2021.
  92. The impact of avatar personalization and immersion on virtual body ownership, presence, and emotional response. IEEE Transactions on Visualization and Computer Graphics, 24:1643–1652, 2018.
  93. Siemens Industry Software, jack. https://www.plm.automation.siemens.com/media/store/en_us/4917_tcm1023-4952_tcm29-1992.pdf. Accessed: 2024-02-02.
  94. SantosHuman Inc., santoshuman. https://www.santoshumaninc.com/. Accessed: 2024-02-02.
  95. Oben. http://www.oben.me/. Accessed: 2024-02-02.
  96. Digital twin-driven human-centered design frameworks for meeting sustainability objectives. Journal of Computing and Information Science in Engineering, 21, 4 2021.
  97. Combating attrition in digital self-improvement programs using avatar customization. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pages 1–15. Association for Computing Machinery, 2018.
  98. Being immersed: Avatar similarity and self-awareness. In Proceedings of the 24th Australian Computer-Human Interaction Conference, pages 232–240. Association for Computing Machinery, 2012.
  99. Avatar: An immersive analysis environment for human motion data combining interactive 3d avatars and trajectories. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2022.
  100. A survey on synchronous augmented, virtual, andmixed reality remote collaboration systems. ACM Comput. Surv., 55, 12 2022.
  101. Privacy laws and privacy by design schemes for the internet of things: A developer’s perspective. ACM Comput. Surv., 54, 5 2021.
  102. Blockchain-based digital twins: Research trends, issues, and future challenges. ACM Comput. Surv., 54, 9 2022.
  103. Cybersecurity of industrial cyber-physical systems: A review. ACM Comput. Surv., 54, 9 2022.
  104. Security and privacy in iot using machine learning and blockchain: Threats and countermeasures. ACM Comput. Surv., 53, 12 2020.
  105. Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems, 24, 2009.
  106. Principles for human-centered system design in industry 4.0 – a systematic literature review. In Isabel L Nunes, editor, Advances in Human Factors and Systems Interaction, pages 140–147. Springer International Publishing, 2020.
  107. A novel cloud-based framework for the elderly healthcare services using digital twin. IEEE Access, 7:49088–49101, 2019.
  108. The “virtual digital twins” concept in precision nutrition. Advances in Nutrition, 11:1405–1413, 11 2020.
  109. On the integration of agents and digital twins in healthcare. Journal of Medical Systems, 44:161, 2020.
  110. Sensor positioning influences the accuracy of knee rom data of an e-rehabilitation system: A preliminary study with healthy subjects. Sensors, 20, 2020.
  111. Michael H Friebe. Healthcare in need of innovation: exponential technology and biomedical entrepreneurship as solution providers (keynote paper). In Proc.SPIE, volume 11315, 3 2020.
  112. Type 2 diabetes reversal with digital twin technology-enabled precision nutrition and staging of reversal: a retrospective cohort study. Clinical Diabetes and Endocrinology, 7:21, 2021.
  113. Towards enabling a cardiovascular digital twin for human systemic circulation using inverse analysis. Biomechanics and Modeling in Mechanobiology, 20:449–465, 2021.
  114. Capturing autonomy in its multiple facets: A digital twin approach. In Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, pages 3–12. Association for Computing Machinery, 2021.
  115. Pervasive and connected digital twins – a vision for digital health. IEEE Internet Computing, page 1, 2021.
  116. Towards private similarity query based healthcare monitoring over digital twin cloud platform. In 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), pages 1–10, 2021.
  117. Literature review of digital twins applications in construction workforce safety. Applied Sciences, 11, 2021.
  118. Towards next generation cyber-physical systems and digital twins for construction. Journal of Information Technology in Construction, 26:505–525, 3 2021.
  119. Digital twin networks: A survey. IEEE Internet of Things Journal, 8:13789–13804, 2021.
Citations (3)
View on Semantic Scholar

Summary

No one has generated a summary of this paper yet.

Sign Up to Summarize

Paper to Video (Beta)

No one has generated a video about this paper yet.

Sign Up to Generate All Videos Subscribe on YouTube

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Sign Up to Generate

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Generate Now

Continue Learning

We haven't generated follow-up questions for this paper yet.

Generate Now

Collections

Sign up for free to add this paper to one or more collections.

Sign Up

Tweets

Sign up for free to view the 2 tweets with 1 like about this paper.

Sign Up for Free