AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth

Project Information

SmartCHANGE

Grant agreement ID: 101080965

DOI

10.3030/101080965

EC signature date 20 March 2023

Start date 1 May 2023

End date 30 April 2027

Funded under

• Health

Total cost

€ 5 967 395,00

EU contribution

€ 5 967 395,00

Coordinated by

INSTITUT JOZEF STEFAN
Slovenia

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data management plan

Best practices and standards for project data, assessment of suitability for sharing

Documents, reports (3)

Initial dissemination, communication and exploitation plan

Plan for dissemination, communication and exploitation, including stakeholder groups and targeted engagement activities

SELP benchmark

A description of key ethical and legal requirements, and their frame

Initial technical specification

Initial specification of the design of the system architecture integrating all the components defined in the project to be used in the pilot study

Websites, patent fillings, videos etc. (1)

Project website

Website with project presentation, news and public materials (website and a short description)

Publications

Conference proceedings (5)

Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors

Author(s): Dario Fenoglio, Mohan Li, Davide Casnici, Matias Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich
Published in: 2024 International Conference on Intelligent Environments (IE), 2024
Publisher: IEEE
DOI: 10.1109/IE61493.2024.10599924

A Federated Unsupervised Personalisation for Cognitive Workload Estimation

Author(s): Dario Fenoglio, Martin Gjoreski, Marc Langheinrich
Published in: Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 2023
Publisher: ACM
DOI: 10.1145/3626705.3631796

SmartCHANGE: AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth

Author(s): Nina Reščič, Janna Alberts, Teatske M. Altenburg, Mai J. M. Chinapaw, Antonio De Nigro, Dario Fenoglio, Martin Gjoreski, Anton Gradišek, Gregor Jurak, Athanasios Kiourtis, Dimosthenis Kyriazis, Marc Langheinrich, Elena Mancuso, Argyro Mavrogiorgou, Mykola Pechenizkiy, Roberto Pratola, José Ribeiro, Maroje Sorić, Fawad Taj, Tuija H. Tammelin, Martijn Vastenburg, Anna Vilanova, Tanja G. M. Vrijkotte, Mitja Luštrek
Published in: 2023 International Conference on Applied Mathematics & Computer Science (ICAMCS), 2024
Publisher: IEEE
DOI: 10.1109/ICAMCS59110.2023.00020

SmartCHANGE Risk Prediction Tool: Demonstrating Risk Assessment for Children and Youth

Published in: Proceedings of Slovenian Conference on Artificial Intelligence 2024, 2024
Publisher: Jožef Stefan Instutute
DOI: 10.70314/is.2024.scai.8844

Subgroup Harm Assessor: Identifying Potential Fairness-Related Harms andPredictive Bias

Author(s): Adam Dubowski, Hilde Weerts, Anouk Wolters, Mykola Pechenizkiy
Published in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70371-3_31