Risultati finali Documents, reports (28) 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. Demonstrators, pilots, prototypes (5) 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 personalized mobile applications Description of the food shopping, home and restaurant applications along with their subsystems. First version of personalized mobile applications Description of the food shopping, home and restaurant applications along with their subsystems. 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. Other (1) First version of PROTEIN AI advisor Description of the PROTEIN AI advisor and its components. Websites, patent fillings, videos etc. (1) Project website Project website with initial content. Pubblicazioni Conference proceedings (11) 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, Issue Volume 344: Formal Ontology in Information Systems, 2021, Page(s) 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: Issue 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, Page(s) 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, Issue Volume 81 - Issue OCE1 - 2022, 2022, Page(s) E37 Editore: Cambridge University Press DOI: 10.1017/s0029665122000374 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: Issue 10, 2022 Editore: Zenodo DOI: 10.5281/zenodo.6719946 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, Page(s) 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, Page(s) 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, Issue 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: Issue 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, Page(s) 3244-3248, ISBN 978-1-7281-6395-6 Editore: IEEE DOI: 10.1109/icip40778.2020.9190758 Peer reviewed articles (7) 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; Issue 20; Pages: 4435, Issue 6, 2022, ISSN 2072-6643 Editore: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/nu14204435 Recurrent neural network pruning using dynamical systems and iterative fine-tuning Autori: Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras Pubblicato in: Neural Networks, Issue 143, 2021, Page(s) 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), Issue 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, Issue 46/1, 2021, Page(s) 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; Issue 20;, Issue 6, 2022, Page(s) 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, Issue 12/1, 2020, Page(s) 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, Issue 9, 2022, ISSN 2296-861X Editore: Frontiers DOI: 10.3389/fnut.2022.898031 Other (4) 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, Issue 2, 2020 Editore: ASMS GEPERSONALISEERDE VOEDINGS- EN BEWEGINGSPLANNEN MET PROTEIN Autori: Buys R; Cornelissen V Pubblicato in: Issue 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: Issue 2, 2022 Editore: Zenodo DOI: 10.5281/zenodo.7398490 Book chapters (3) 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, Issue 11754, 2019, Page(s) 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, Issue 12189, 2020, Page(s) 532-543, ISBN 978-3-030-49107-9 Editore: Springer International Publishing DOI: 10.1007/978-3-030-49108-6_38 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, Issue 12189, 2020, Page(s) 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... 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