Interaction with a Virtual Coach for Active and Healthy Ageing

Author:

McTear Michael1ORCID,Jokinen Kristiina2ORCID,Alam Mirza Mohtashim3,Saleem Qasid3,Napolitano Giulio3ORCID,Szczepaniak Florian4ORCID,Hariz Mossaab4ORCID,Chollet Gérard4,Lohr Christophe4ORCID,Boudy Jérôme4,Azimi Zohre5ORCID,Roelen Sonja Dana5,Wieching Rainer6

Affiliation:

1. School of Computing, Ulster University, Belfast BT15 1AP, UK

2. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIRC/AIST), Tokyo 135-0064, Japan

3. Institut für Angewandte Informatik (INFAI), 04109 Leipzig, Germany

4. Institut Mines-Télécom (IMT), 91120 Palaiseau, France

5. Institut für Experimentelle Psychophysiologie Gmbh (IXP), 40215 Düsseldorf, Germany

6. Chair for Business Information Systems and New Media, Faculty III, Universität Siegen (USI), 57068 Siegen, Germany

Abstract

Since life expectancy has increased significantly over the past century, society is being forced to discover innovative ways to support active aging and elderly care. The e-VITA project, which receives funding from both the European Union and Japan, is built on a cutting edge method of virtual coaching that focuses on the key areas of active and healthy aging. The requirements for the virtual coach were ascertained through a process of participatory design in workshops, focus groups, and living laboratories in Germany, France, Italy, and Japan. Several use cases were then chosen for development utilising the open-source Rasa framework. The system uses common representations such as Knowledge Bases and Knowledge Graphs to enable the integration of context, subject expertise, and multimodal data, and is available in English, German, French, Italian, and Japanese.

Funder

European Union H2020 Programme

Japanese Ministry of Internal Affairs and Communication

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference40 articles.

1. Spasova, S., Baeten, R., Coster, S., Ghailani, D., Peña-Casas, R., and Vanhercke, B. (2022, October 07). Challenges in Long-Term Care in Europe—A Study of National Policies. Available online: https://www.age-platform.eu/publications/challenges-long-term-care-europe-study-national-policies-2018.

2. (2022, October 07). EU-Japan Virtual Coach for Smart Ageing. Available online: https://www.e-vita.coach/.

3. Takama, Y., Matsumura, N., Yada, K., Matsushita, M., Katagami, D., Abe, A., Kashima, H., Hiraoka, T., Uchiya, T., and Rzepka, R. (2022). AI 2022: Advances in Artificial Intelligence, Springer International Publishing.

4. Video Based Mobility Monitoring of Elderly People Using Deep Learning Models;Romeo;IEEE Access,2023

5. A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring;Mangal;Comput. Biol. Med.,2021

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