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PeRsOnalized nutriTion for hEalthy livINg

Deliverables

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.

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.

The PROTEIN impact assessment method

Description of the impact assessment method used in the project.

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.

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.

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.

First version of system verification report

This deliverable pertains to the PROTEIN platform’s verification.

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.

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 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.

First version of PROTEIN AI advisor

Description of the PROTEIN AI advisor and its components.

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Publications

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

Author(s): Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras
Published in: Neural Networks, 143, 2021, Page(s) 475-488, ISSN 0893-6080
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2021.07.001

PeRsOnalised nutriTion for hEalthy livINg: The PROTEIN project

Author(s): 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
Published in: Nutrition Bulletin, 46/1, 2021, Page(s) 77-87, ISSN 1471-9827
Publisher: John Wiley & Sons Ltd
DOI: 10.1111/nbu.12482

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

Author(s): Dimitrios Konstantinidis, Kosmas Dimitropoulos, Billy Langlet, Petros Daras, Ioannis Ioakimidis
Published in: Nutrients, 12/1, 2020, Page(s) 209, ISSN 2072-6643
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/nu12010209

Noise-Assisted Multivariate Variational Mode Decomposition

Author(s): Charilaos A. Zisou, Georgios K. Apostolidis, Leontios J. Hadjileontiadis
Published 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
Publisher: IEEE
DOI: 10.1109/icassp39728.2021.9413367

A survey on AI nutrition recommender systems

Author(s): Thomas Theodoridis, Vassilios Solachidis, Kosmas Dimitropoulos, Lazaros Gymnopoulos, Petros Daras
Published in: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019, Page(s) 540-546, ISBN 9781450362320
Publisher: ACM
DOI: 10.1145/3316782.3322760

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

Author(s): Jaksic, Milena; Brkic, Boris
Published in: 2, 2020
Publisher: Zenodo
DOI: 10.5281/zenodo.4275277

A Cross-Modal Variational Framework For Food Image Analysis

Author(s): Thomas Theodoridis, Vassilios Solachidis, Kosmas Dimitropoulos, Petros Daras
Published in: 2020 IEEE International Conference on Image Processing (ICIP), 2020, Page(s) 3244-3248, ISBN 978-1-7281-6395-6
Publisher: IEEE
DOI: 10.1109/icip40778.2020.9190758

A Deep Network for Automatic Video-Based Food Bite Detection

Author(s): Dimitrios Konstantinidis, Kosmas Dimitropoulos, Ioannis Ioakimidis, Billy Langlet, Petros Daras
Published in: Computer Vision Systems - 12th International Conference, ICVS 2019, Thessaloniki, Greece, September 23–25, 2019, Proceedings, 11754, 2019, Page(s) 586-595, ISBN 978-3-030-34994-3
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-34995-0_53

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

Author(s): Alexandros Graikos, Vasileios Charisis, Dimitrios Iakovakis, Stelios Hadjidimitriou, Leontios Hadjileontiadis
Published 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, 12189, 2020, Page(s) 532-543, ISBN 978-3-030-49107-9
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-49108-6_38

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

Author(s): Alexandros Graikos, Vasileios Charisis, Dimitrios Iakovakis, Stelios Hadjidimitriou, Leontios Hadjileontiadis
Published 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, 12189, 2020, Page(s) 532-543, ISBN 978-3-030-49107-9
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-49108-6_38