Skip to main content
European Commission logo
italiano italiano
CORDIS - Risultati della ricerca dell’UE
CORDIS
CORDIS Web 30th anniversary CORDIS Web 30th anniversary

PeRsOnalized nutriTion for hEalthy livINg

Risultati finali

Advisory board’s contribution

Describes the contribution of the project’s Advisory Board to the project during M1-M18.

Project advisory board

Purpose and composition of EAB along with a concrete plan for their involvement with the project.

Dissemination and Exploitation Plan

A document outlining the project dissemination and exploitation strategies and detailing the project plan of concrete dissemination and exploitation activities.

Final version of system verification report

This deliverable pertains to the PROTEIN platforms verification

PROTEIN Communication Plan

A detailed document outlining the project’s communication strategy, target audiences, objectives, messages, mediums, activities, timelines and other aspects.

Evaluation strategy, demonstration plan and pilot roadmap

A plan, detailing system evaluation parameters, such as user selection procedure, scenarios, methods, time plan, risk planning, ethical considerations, with identified roles, the number of iterations and actions identified.

Integration plan and support tools

Strategy and planning for systems integration along with the support tools that will be employed.

First technical assessment report

Initial technical validation of the PROTEIN ecosystem

Final Communication Report

Report on communication activities and their impact and Communication Plan update

The PROTEIN impact assessment method

Description of the impact assessment method used in the project.

Final version of knowledge base and user profile modelling

Description of the knowledge base defined by the multidisciplinary PROTEIN team and user profile models

PROTEIN ecosystem overall assessment

Overall assessment and largescale validation of the PROTEIN ecosystem

Report on security, data protection, privacy, consumer protection, ethics and societal acceptance (TARESS framework)

Report on the TARESS framework.

First version of genetic and gut microbiome analysis

Description of work performed in T3.4 and T3.5 in each evaluation phase of the PROTEIN system.

Final version of system demonstration and piloting report

Report on system demonstration and piloting

Second Communication Report

Report on communication activities and their impact and Communication Plan update.

Data acquisition plan

Data acquisition plan providing timing and data type details.

Deep learning-based knowledge extraction

Repport on identified relations between nutritional and biomedical data in deep neural networks which could not be consistently represented in the global knowledge models of T31 T32

User scenarios and requirements specification

Definition and identification of user needs and scenarios, providing a reference set of user requirements, in order to guide the design and development of the overall PROTEIN system architecture.

Deepening understanding of food choice drivers

Report on food choice drivers understanding on different populations

First version of system verification report

This deliverable pertains to the PROTEIN platform’s verification.

Final version of genetic and gut microbiome analysis

Description of work performed in T34 and T35 in each evaluation phase of the PROTEIN system

First version of knowledge base and user profile modelling

Description of the knowledge base defined by the multidisciplinary PROTEIN team, and user profile models.

Quality management plan

A document setting the guidelines for QA.

Advisory board's contribution - update

Describes the contribution of the projects Advisory Board to the project during M19M48

Data collection protocol

Definition of the data collection protocol.

First version of system demonstration and piloting report

Report on system demonstration and piloting.

First Communication Report

Report on communication activities and their impact and Communication Plan update.

First version of the PROTEIN’s integrated platform

This deliverable pertains to releases of the PROTEIN’s integrated platform including all software and its manual.

Final version of the PROTEIN's integrated platform

This deliverable pertains to releases of the PROTEIN’s integrated platform including all software and its manual.

Final version of personalized mobile applications

Description of the food shopping, home and restaurant applications along with their subsystems.

Final version of gamification and game suite

Description of the dedicated game suite including games that aim to engage users through rewards and com-petition.

First version of personalized mobile applications

Description of the food shopping, home and restaurant applications along with their subsystems.

Final version of mobile application suite

This deliverable pertains to releases of the integrated PROTEIN mobile application suite, ready to be tested.

First version of mobile application suite

This deliverable pertains to releases of the integrated PROTEIN mobile application suite, ready to be tested.

First version of gamification and game suite

Description of the dedicated game suite including games that aim to engage users through rewards and com-petition.

Final version of PROTEIN AI advisor

Description of the PROTEIN AI advisor and its components.

First version of PROTEIN AI advisor

Description of the PROTEIN AI advisor and its components.

Pubblicazioni

NAct: The Nutrition & Activity Ontology for Healthy Living

Autori: Dorothea Tsatsou, Elena Lalama, Saskia L. Wilson-Barnes, Kathryn Hart, Véronique Cornelissen, Roselien Buys, Ioannis Pagkalos, Sofia Balula Dias, Kosmas Dimitropoulos, Petros Daras
Pubblicato in: Frontiers in Artificial Intelligence and Applications, Numero Volume 344: Formal Ontology in Information Systems, 2021, Pagina/e 129 - 143, ISBN 978-1-64368-249-5
Editore: IOS Press Ebooks
DOI: 10.3233/faia210377

Food impact study on selected breath VOCs using portable mass spectrometry

Autori: Jakšić, Milena; Mihajlović, Andrea; Vujić, Djordje; Brkić, Boris
Pubblicato in: Numero 5, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7276430

Noise-Assisted Multivariate Variational Mode Decomposition

Autori: Charilaos A. Zisou, Georgios K. Apostolidis, Leontios J. Hadjileontiadis
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Pagina/e 5090-5094, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9413367

The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application

Autori: K.H. Hart,S. Wilson-Barnes,K. Stefanidis,D. Tsatsou,L. Gymnopoulos,K. Dimitropoulos,K. Rouskas,N. Argiriou,R. Leoni,D. Russell,J. Konstantinova,N. Merry,E. Lalama,A. Pfeiffer,M. Hassapidou,I. Pagkalos,E. Patra,R. Buys,V. Cornelissen,S. Balula Dias,A. Batista,E. Mantovani,B. Brkic,S. Lanham-New
Pubblicato in: Proceedings of the Nutrition Society, Numero Volume 81 - Numero OCE1 - 2022, 2022, Pagina/e E37
Editore: Cambridge University Press
DOI: 10.1017/s0029665122000374

Non-invasive Detection of Bowel Sounds in Real-life Settings Using Spectrogram Zeros and Autoencoding

Autori: I. Bilionis, G. Apostolidis, V. Charisis, C. Liatsos, L. Hadjileontiadis
Pubblicato in: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Pagina/e 915-919
Editore: IEEE
DOI: 10.1109/embc46164.2021.9630783

Personalized nutrition for healthy living (PROTEIN)

Autori: Lazaros Gymnopoulos, Kosmas Dimitropoulos, Vassilis Solachidis, Petros Daras, Alex Bensenousi, Jose Botana, Duncan Russell, Carlos Caetano, Saverio Gravina, Hugo Silva, Luca Perone, Simon Maas, Boris Brkic, Leontios Hadjileontiadis, Audrey Van Scharen, Kathryn Hart, Andreas F.H. Pfeiffer, Maria Hassapidou, Veronique Cornelissen, Sofia Balula Dias, Euan Woodward, Andre Santos, Stefano Cobello, Anag
Pubblicato in: 2020
Editore: Zenodo

A survey on AI nutrition recommender systems

Autori: Thomas Theodoridis, Vassilios Solachidis, Kosmas Dimitropoulos, Lazaros Gymnopoulos, Petros Daras
Pubblicato in: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019, Pagina/e 540-546, ISBN 9781450362320
Editore: ACM
DOI: 10.1145/3316782.3322760

Comparison of two sample inlet types for exhaled breath acetone determination using portable mass spectrometry

Autori: Jaksic, Milena; Brkic, Boris
Pubblicato in: 2020 Breath Biopsy Conference - Posters, Numero 2, 2020
Editore: Zenodo
DOI: 10.5281/zenodo.4275277

Food impact assessment on exhaled breath volatile organic compounds using a portable membrane inlet mass spectrometer

Autori: Jakšić, Milena; Mihajlović, Andrea; Vujić, Djordje; Brkić, Boris
Pubblicato in: Numero 9, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7050073

A Cross-Modal Variational Framework For Food Image Analysis

Autori: Thomas Theodoridis, Vassilios Solachidis, Kosmas Dimitropoulos, Petros Daras
Pubblicato in: 2020 IEEE International Conference on Image Processing (ICIP), 2020, Pagina/e 3244-3248, ISBN 978-1-7281-6395-6
Editore: IEEE
DOI: 10.1109/icip40778.2020.9190758

Recurrent neural network pruning using dynamical systems and iterative fine-tuning

Autori: Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras
Pubblicato in: Neural Networks, Numero 143, 2021, Pagina/e 475-488, ISSN 0893-6080
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2021.07.001

Membrane inlet mass spectrometry method for food intake impact assessment on specific volatile organic compounds in exhaled breath

Autori: Jakšić, Milena; Mihajlović, Andrea; Vujić, Djordje; Giannoukos, Stamatios; Brkić, Boris
Pubblicato in: Analytical and Bioanalytical Chemistry, 414 (20), Numero 11, 2022, ISSN 1618-2642
Editore: Springer Verlag
DOI: 10.1007/s00216-022-04168-3

PeRsOnalised nutriTion for hEalthy livINg: The PROTEIN project

Autori: S. Wilson‐Barnes, L. P. Gymnopoulos, K. Dimitropoulos, V. Solachidis, K. Rouskas, D. Russell, Y. Oikonomidis, S. Hadjidimitriou, J. María Botana, B. Brkic, E. Mantovani, S. Gravina, G. Telo, E. Lalama, R. Buys, M. Hassapidou, S. Balula Dias, A. Batista, L. Perone, S. Bryant, S. Maas, S. Cobello, P. Bacelar, S. A. Lanham‐New, K. Hart
Pubblicato in: Nutrition Bulletin, Numero 46/1, 2021, Pagina/e 77-87, ISSN 1471-9827
Editore: John Wiley & Sons Ltd
DOI: 10.1111/nbu.12482

PROTEIN AI Advisor: A Knowledge-Based Recommendation Framework Using Expert-Validated Meals for Healthy Diets

Autori: Kiriakos Stefanidis; Dorothea Tsatsou; Dimitrios Konstantinidis; Lazaros Gymnopoulos; Petros Daras; Saskia Wilson-Barnes; Kathryn Hart; Véronique Cornelissen; Elise Decorte; Elena Lalama; Andreas Pfeiffer; Maria Hassapidou; Ioannis Pagkalos; Anagnostis Argiriou; Konstantinos Rouskas; Stelios Hadjidimitriou; Vasileios Charisis; Sofia Balula Dias; José Alves Diniz; Gonçalo Telo; Hugo Silva; Alex
Pubblicato in: Nutrients; Volume 14; Numero 20;, Numero 6, 2022, Pagina/e 4435, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu14204435

Validation of a Deep Learning System for the Full Automation of Bite and Meal Duration Analysis of Experimental Meal Videos

Autori: Dimitrios Konstantinidis, Kosmas Dimitropoulos, Billy Langlet, Petros Daras, Ioannis Ioakimidis
Pubblicato in: Nutrients, Numero 12/1, 2020, Pagina/e 209, ISSN 2072-6643
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu12010209

Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach

Autori: Sofia Balula Dias, Yannis Oikonomidis, José Alves Diniz, Fátima Baptista, Filomena Carnide, Alex Bensenousi, José María Botana, Dorothea Tsatsou, Kiriakos Stefanidis, Lazaros Gymnopoulos, Kosmas Dimitropoulos, Petros Daras, Anagnostis Argiriou, Konstantinos Rouskas, Saskia Wilson-Barnes, Kathryn Hart, Neil Merry , Duncan Russell , Jelizaveta Konstantinova, Elena Lalama, Andreas Pfeiffer, Anna
Pubblicato in: Frontiers in Nutrition, Numero 9, 2022, ISSN 2296-861X
Editore: Frontiers
DOI: 10.3389/fnut.2022.898031

Artificial intelligence applications in personalized nutrition

Autori: V. Solachidis, K. Dimitropoulos, L. Gymnopoulos, D. Konstantinidis, T. Theodoridis, P. Daras
Pubblicato in: 2020
Editore: John Wiley & Sons, Ltd
DOI: 10.1111/obr.13118

Validation of the method for the assessment of food impact on breath VOCs using portable membrane inlet mass spectrometer

Autori: Jakšić, Milena; Mihajlović, Andrea; Vujić, Djordje; Brkić, Boris
Pubblicato in: 70th American Society for Mass Spectrometry (ASMS) Conference Proceedings, Numero 2, 2020
Editore: ASMS

GEPERSONALISEERDE VOEDINGS- EN BEWEGINGSPLANNEN MET PROTEIN

Autori: Buys R; Cornelissen V
Pubblicato in: Numero 3, 2020
Editore: Zenodo
DOI: 10.5281/zenodo.5114480

Breath analysis using portable mass spectrometry for personalized nutrition

Autori: Brkić, Boris; Jakšić, Milena; Mihajlović, Andrea; Vujić, Djordje
Pubblicato in: Numero 2, 2022
Editore: Zenodo
DOI: 10.5281/zenodo.7398490

A Deep Network for Automatic Video-Based Food Bite Detection

Autori: Dimitrios Konstantinidis, Kosmas Dimitropoulos, Ioannis Ioakimidis, Billy Langlet, Petros Daras
Pubblicato in: Computer Vision Systems - 12th International Conference, ICVS 2019, Thessaloniki, Greece, September 23–25, 2019, Proceedings, Numero 11754, 2019, Pagina/e 586-595, ISBN 978-3-030-34994-3
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-34995-0_53

Single Image-Based Food Volume Estimation Using Monocular Depth-Prediction Networks

Autori: Alexandros Graikos, Vasileios Charisis, Dimitrios Iakovakis, Stelios Hadjidimitriou, Leontios Hadjileontiadis
Pubblicato in: Universal Access in Human-Computer Interaction. Applications and Practice - 14th International Conference, UAHCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II, Numero 12189, 2020, Pagina/e 532-543, ISBN 978-3-030-49107-9
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-49108-6_38

È in corso la ricerca di dati su OpenAIRE...

Si è verificato un errore durante la ricerca dei dati su OpenAIRE

Nessun risultato disponibile