Empowering Smart Aging: Insights into the Technical Architecture of the e-VITA Virtual Coaching System for Older Adults.

active and healthy aging older adults sensors smart aging technical architecture virtual coach

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
19 Jan 2024
Historique:
received: 09 11 2023
revised: 11 01 2024
accepted: 17 01 2024
medline: 26 1 2024
pubmed: 26 1 2024
entrez: 26 1 2024
Statut: epublish

Résumé

With a substantial rise in life expectancy throughout the last century, society faces the imperative of seeking inventive approaches to foster active aging and provide adequate aging care. The e-VITA initiative, jointly funded by the European Union and Japan, centers on an advanced virtual coaching methodology designed to target essential aspects of promoting active and healthy aging. This paper describes the technical framework underlying the e-VITA virtual coaching system platform and presents preliminary feedback on its use. At its core is the e-VITA Manager, a pivotal component responsible for harmonizing the seamless integration of various specialized devices and modules. These modules include the Dialogue Manager, Data Fusion, and Emotional Detection, each making distinct contributions to enhance the platform's functionalities. The platform's design incorporates a multitude of devices and software components from Europe and Japan, each built upon diverse technologies and standards. This versatile platform facilitates communication and seamless integration among smart devices such as sensors and robots while efficiently managing data to provide comprehensive coaching functionalities.

Identifiants

pubmed: 38276330
pii: s24020638
doi: 10.3390/s24020638
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Union
ID : 101016453
Organisme : Japanese Ministry of Internal Affairs and Communication
ID : JPJ000595

Auteurs

Riccardo Naccarelli (R)

Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, 60131 Ancona, Italy.

Francesca D'Agresti (F)

Engineering Ingegneria Informatica SpA, 00144 Roma, Italy.

Sonja Dana Roelen (SD)

Institut für Experimentelle Psychophysiologie GmbH, 40215 Düsseldorf, Germany.

Kristiina Jokinen (K)

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

Sara Casaccia (S)

Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, 60131 Ancona, Italy.

Gian Marco Revel (GM)

Department of Industrial Engineering and Mathematical Sciences, Polytechnic University of Marche, 60131 Ancona, Italy.

Martino Maggio (M)

Engineering Ingegneria Informatica SpA, 00144 Roma, Italy.

Zohre Azimi (Z)

Institut für Experimentelle Psychophysiologie GmbH, 40215 Düsseldorf, Germany.

Mirza Mohtashim Alam (MM)

Leibniz Institute for Information Infrastructure, FIZ Karlsruhe, 76344 Eggenstein-Leopoldshafen, Germany.

Qasid Saleem (Q)

Institute for Applied Informatics (InfAI), 04109 Leipzig, Germany.

Abrar Hyder Mohammed (AH)

Institute for Applied Informatics (InfAI), 04109 Leipzig, Germany.

Giulio Napolitano (G)

Institute for Applied Informatics (InfAI), 04109 Leipzig, Germany.

Florian Szczepaniak (F)

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

Mossaab Hariz (M)

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

Gérard Chollet (G)

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

Christophe Lohr (C)

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

Jérôme Boudy (J)

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

Rainer Wieching (R)

Institute for Business Informatics & New Media, University Siegen, Kohlbettstr. 15, 57072 Siegen, Germany.

Toshimi Ogawa (T)

Smart-Aging Research Center, Tohoku University, Sendai 980-8575, Japan.

Classifications MeSH