IRCI Article ID: IRCI-AR-0000003149

Patent Spectrum of Human Digital Twins

Authors:

Muhammad Zia-Ul-Haq

Journal: Trends in Intellectual Property Research

Publication: 2024-04-19 · Vol. 1 No. 1

DOI: 10.69971/k8f2jc51

Cite this article

Citation

Choose a citation style or copy BibTeX for your reference manager.

Style

View Original Publication

Abstract

Although no "absolute" definition exists, a human digital twin (HDT) may be defined as a virtual physiological copy or counterpart in digital world of a real person existing in the physical world having active connection between the human and his corresponding twin in metaverse. The current study aims to explore the intellectual property rights (IPR) challenges of HDTs. Previously discussions on HDT have mostly focused their potential use in health system for predictions of diseases nearly ignoring the patent associated with them. Current study highlights patent landscape analysis of HDT indicating current trends in HDT patents and future scenario of this technology.

0
IRCI Cited By

29
Indexed References

Authors

Muhammad Zia-Ul-Haq

Affiliation: Office of Research Innovation and Commercialization (ORIC), University of Engineering and Technology (UET), Lahore, Pakistan

References

Abbas, A., Zhang, L., & Khan, S.U. “A literature review on the state-of-the-art in patent analysis”. World

Patent Information 37, no.6 (2014):3-13. 10.1016/j.wpi.2013.12.006.

Alam, K. M., & El Saddik, A. “C2ps: A digital twin architecture reference model for the cloud-based cyberphysical systems”. IEEE Access 5, no.12 (2017):2050–2062.

http://dx.doi.org/10.1109/ACCESS.2017.2657006.

Blake, T. “The human’s digital twin”. Professional Engineering 29, no.12 (2016):30 -33.

Burden, D., & Savin-Baden, M. Virtual Humans: Today and Tomorrow. Chapman & Hall/CRC Artificial

Intelligence and Robotics Series. (CRC Press, Taylor & Francis Group (2019).

Burhan, M., Singh, A.K., & Jain, S.K. “Patents as proxy for measuring innovations: a case of changing patent

filing behavior in Indian public funded research organizations”. Technology Forecasting and Social

Change 123C, (2017):181-190. 10.1016/j.techfore.2016.04.002

Ernst, H. “Patent information for strategic technology management”. World Patent Information 25, no.

(2003):233-242.

Hafez, W. Human digital twin: Enabling human multismart machines collaboration. In: Bi, Y., & Bhatia, R. K.

S. Eds., Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and

Computing. (2020). Springer, Cham. http://dx.doi.org/10.1007/978-3-030-29513-4_72.

Hufker, T., & Alpert, F. “Patents: a managerial perspective”. Journal of Product & Brand Management 3, no.

(1994): 44-54.

Mae, A. M. “Cheat sheet: What is Digital Twin?” (2020). https://www.ibm.com/blog/iot-cheat-sheet-digitaltwin/ (Accessed 15 October 2023).

Naudet, Y., Baudet, A., & Risse, M. Human Digital Twin in Industry 4.0: Concept and Preliminary Model. In:

Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and

Logistics (IN4PL 2021), (2021):137-144. 10.5220/0010709000003062.

Pejic-Bach, M., Pivar, J., & Krstić, Ž. Big data for prediction: patent Analysis–patenting big data for prediction

analysis. In: Big Data Governance and Perspectives in Knowledge Management, IGI Global, (2019)

-240. https://www.igi-global.com/gateway/chapter/216810 .

Saracco, R., Autiosalo, J., Kerckhove, D., Flammini, F., & Nisiotis, L. “Personal digital twins and their role in

epidemics control: An IEEE digital reality white paper”. (2020).

Zibuschka, J., Ruff, C., Horch, A., & Roßnagel, H. A human digital twin as building block of open identity

management for the internet of things. In: Open Identity Summit, Eds.: Roßnagel, H., Schunck, C. H.,

Modersheim, S., & Huhnlein, D. (Bonn. Gesellschaft fur Informatik: 2020): 133–142.

Cited By (0)

No indexed citing article has been matched by IRCI yet.