Digital Twins for Supporting Ageing Well: Approaches in Current Research and Innovation in Europe and Japan

Author:

Lehmann Jasmin1ORCID,Granrath Lorenz2ORCID,Browne Ryan2,Ogawa Toshimi2ORCID,Kokubun Keisuke2ORCID,Taki Yasuyuki2,Jokinen Kristiina3ORCID,Janboecke Sarah4,Lohr Christophe5ORCID,Wieching Rainer1,Bevilacqua Roberta6,Casaccia Sara7ORCID,Revel Gian Marco7ORCID

Affiliation:

1. Information Systems and New Media, University of Siegen, 57072 Siegen, Germany

2. Smart Aging Research Centre, Tohoku University, Sendai 980-8577, Japan

3. AIST AI Research Centre, AIST Tokyo Waterfront, 3-4-7-Aomi Koto-ku, Tokyo 135-0064, Japan

4. Sarah Janböcke ODR GmbH on Behalf of Smart Aging Research Centre, Tohoku University, 45219 Essen, Germany

5. IMT Atlantique, Bretagne—Pays de la Loire, École Mines-Télécom, 44300 Nantes, France

6. IRCCS INRCA, 60124 Ancona, Italy

7. Dipartimento di Ingegneria Industriale e Scienze Matematiche, Università Politecnica delle Marche, 60121 Ancona, Italy

Abstract

One of the central social challenges of the 21st century is society’s aging. AI provides numerous possibilities for meeting this challenge. In this context, the concept of digital twins, based on Cyber-Physical Systems, offers an exciting prospect. The e-VITA project, in which a virtual coaching system for elderly people is being created, allows the same to be assessed as a model for development. This white paper collects and presents relevant findings from research areas around digital twin technologies. Furthermore, we address ethical issues. This paper shows that the concept of digital twins can be usefully applied to older adults. However, it also shows that the required technologies must be further developed and that ethical issues must be discussed in an appropriate framework. Finally, the paper explains how the e-VITA project could pave the way towards developing a Digital Twin for Ageing.

Funder

European Union

Japanese Ministry of Internal Affairs and Communication

Publisher

MDPI AG

Reference67 articles.

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3. Hill, R., Devitt, J., Anjum, A., and Ali, M. (2017, January 21–23). Towards In-Transit Analytics for Industry 4.0. Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, UK.

4. Human Digital Twin for Fitness Management;Barricelli;IEEE Access,2020

5. Gámez Díaz, R., Yu, Q., Ding, Y., Laamarti, F., and El Saddik, A. (2020). Digital Twin Coaching for Physical Activities: A Survey. Sensors, 20.

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