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CORDIS - Résultats de la recherche de l’UE
CORDIS

Craft Understanding, Education, Training, and Preservation for Posterity and Prosperity

Livrables

Communication Plan and Activities

The communication plan (M2) will contain the intentions of Craeft on communication actions, per type of medium (i.e. social, mass media, participation in events etc.). The plan will define the modus operandi and the timeframe of interaction between partners and MDE regarding the contribution of content for the communication actions. The plan will include templates with instructions to systematise the contribution of partners to the communication activities. The plan will be accompanied by a shared electronic document for the systematic submission of this content. The reports (M12, M24, and M36), will regard the communication activities of Craeft per reporting period. The final version will contain an annex of all the newsletters published and state the consortium plan for post-project communication activities. Also, all newsletters will be available through the project website, at the time of their publication.

Action and affordance modelling

Modelling craft actions regards their functional modelling in software so that they can be reenacted in simulation. Actions will be modelled in terms of required affordances, functional specification, and result prediction. The model will be generative in that when executed it should predict the outcome of an action, in terms of physical result and sensory signal generation. The functional part of this model is to be provided by D3.1. The specification will define the immersive properties and formats so that they can be reenacted in simulation. The first version (M12) reports on the model design and provides the preliminary simulation on the computer. The second version (M24) will update the model and integrate with the immersive presentation using visual and haptic immersive modalities. Each version of this deliverable consists of a report, software, data, and demonstrators.

Networking and Coordination

On the reports of the networking actions performed by Craeft and the participation of the consortium in coordination actions and events. The first version (M12) will contain an analytical mapping of the targeted organisations and stakeholders, the plans of action for the duration of the project, and the pertinent activities during the first reporting period. The second and third versions (M24 and M36), will update the plan and report the activities for the corresponding reporting periods.

Exploitation Plan and Activities

The exploitation plan for the Craeft outcomes and the reports on its update and implementation. The first version (M12) will identify the planned project outcomes and will map them to stakeholder groups, as well as provide a plan of which organisations and companies will be reached, outline the activities for the exploitation of project outcomes, and report upon these activities for the first year. The second and third versions (M24 and M36), will update the plan and report the activities for the corresponding reporting periods. All versions of this deliverable will report on the organisation and outcomes of the roundtables and project cluster meetings, organised in the context of Task 7.4.

Dissemination Plan and Activities

The dissemination plan (M2) will contain the intentions of Craeft on dissemination action, per type of planned research and innovation action. The plan will outline the research areas for dissemination and map the scientific collaborations that will lead to joint papers. Moreover, the plan will report on the intentions of the consortium to establish agreements with publishers that will support the Open Access availability of Craeft publications and reduce their cost (e.g. agreements on special issues in journals or special sessions/workshops for conferences. The plan will also target the scientific fora where Creaft publications will have the optimal scientific impact. The plan will be accompanied by a shared electronic document to collect the references to the scientific contribution of partners. The reports (M12, M24, and M36), will update the communication activities of Craeft per reporting period. The final version will contain an annex with references to the publications of Craeft, as well as the reach of the dissemination events where Craeft outcomes were disseminated.

Knowledge collection and representation

Reports on the application of the advanced ethnographic methods (D1.1) to the RCIs, the collection of the corresponding data, the formation of knowledge elements, and the digital preservation of both. The output is datasets consisting of digital assets and semantic annotations (data and knowledge) in open and machine-interpretable formats. The first version (Μ12) contains the collection and organisation of data into knowledge, for each RCI. The second version (Μ24) contains the insights obtained from data analysis, the ingestion of data and knowledge in the CAP, and the provision of machine-interpretable representations of both data and knowledge in OpenAIRE repositories.

Enhanced ethnographic methods

Design of ethnographic methods supported by digital technologies and their rationale. Includes a good practice guide and a reproducible description of the recommended methods. The first version (Μ12) will be on the design and definition of the rationale of the approach, the identification of recording and interviews, the necessary processing and organisation of the acquired data to produce knowledge, and the authoring of reproducible instructions for ethnographers. The second version (Μ24) reports on the application and testing of these methods, improvements realised after their application, and a publication in the form of a good practice guide, published as a handbook under OpenAIRE.

Maker-Material-Negotiation model and CAP

The formal, machine-interpretable specification of the Maker-Material Negotiation model and the CAP implementation, along with documentation for both. The model will represent physical information about the objects, tools, gestures, grip postures, their motion, their affordances, and their interaction with materials. The model will be functional in that it functionally explains the scene and is capable of representing its multiple possible outcomes. The CAP will implement this model and enable the authoring of craft action representations. The CAP will map the semantic representation of the action with the functional specification of the action and its affordances. The CAP will provide the UI to author craft representations that are both semantic and functional. The first version (M12) will provide the model design and a preliminary, functional version of the CAP. The second version (M24) will provide its update and report on the use of the CAP for the representation of RCIs and its use to support the Community Portal. Each version of this deliverable consists of a report and software. The second version contains a guide to the authoring of craft representations using the CAP as an OpenAIRE publication.

Publications

Reviving Antiquity in the Digital Era: Digitization, Semantic Curation, and VR Exhibition of Contemporary Dresses

Auteurs: Aldo Xhako, Antonis Katzourakis, Theodoros Evdaimon, Emmanouil Zidianakis, Nikolaos Partarakis, and Xenophon Zabulis
Publié dans: Computers, Numéro 13(3), 57, 2024, ISSN 2073-431X
Éditeur: MDPI
DOI: 10.3390/computers13030057

A Review of Immersive Technologies, Knowledge Representation, and AI for Human-Centered Digital Experiences

Auteurs: Nikolaos Partarakis and Xenophon Zabulis
Publié dans: Electronics, Numéro 13(2):269, 2024, ISSN 2079-9292
Éditeur: MDPI
DOI: 10.3390/electronics13020269

Large Scale Optical Projection Tomography without the Use of Refractive-Index-Matching Liquid

Auteurs: Petros Stavroulakis, Theodore Ganetsos and Xenophon Zabulis 3
Publié dans: Sensors, Numéro 23(24), 9814, 2023, ISSN 1424-8220
Éditeur: MDPI
DOI: 10.3390/s23249814

A Roadmap for Craft Understanding, Education, Training, and Preservation

Auteurs: Xenophon Zabulis; Nikolaos Partarakis; Ioanna Demeridou; Paraskevi Doulgeraki; Emmanouil Zidianakis; Antonis Argyros; Maria Theodoridou; Yannis Marketakis; Carlo Meghini; Valentina Bartalesi; Nicolò Pratelli; Christian Holz; Paul Streli; Manuel Meier; Matias Katajavaara Seidler; Laura Werup; Peiman Fallahian Sichani; Sotiris Manitsaris; Gavriela Senteri; Arnaud Dubois; Chistodoulos Ringas; Aikaterini Ziova; Eleana Tasiopoulou; Danai Kaplanidi; David Arnaud; Patricia Hee; Gregorio Canavate; Marie-Adelaide Benvenuti; Jelena Krivokapic
Publié dans: Heritage, Numéro 6(7):5305-5328, 2023, ISSN 2571-9408
Éditeur: MDPI
DOI: 10.3390/heritage6070280

Applying Cognitive Load Theory to eLearning of Crafts

Auteurs: Nikolaos Partarakis and Xenophon Zabulis
Publié dans: Multimodal Technolies and Interaction, Numéro 8(1):2, 2023, ISSN 2414-4088
Éditeur: MDPI
DOI: 10.3390/mti8010002

A low-cost close-range photogrammetric surface scanner

Auteurs: Panagiotis Koutlemanis, Xenophon Zabulis, Nikolaos Stivaktakis, Nikolaos Partarakis, Emmanouil Zidianakis, Ioanna Demeridou
Publié dans: Frontiers in Imaging, Numéro 3:1341343, 2024, ISSN 2813-3315
Éditeur: Frontiers
DOI: 10.3389/fimag.2024.1341343

Safeguarding Traditional Crafts in Europe

Auteurs: Nikolaos Partarakis, Xenophon Zabulis.
Publié dans: Encyclopedia, Numéro 3(4), 1244-1261, 2023, ISSN 2673-8392
Éditeur: MDPI
DOI: 10.3390/encyclopedia3040090

Motion Capture Benchmark of Real Industrial Tasks and Traditional Crafts for Human Movement Analysis

Auteurs: Brenda Elizabeth Olivas-Padilla; Alina Glushkova; Sotiris Manitsaris
Publié dans: IEEE Access, Numéro 11:40075 - 40092, 2023, ISSN 2169-3536
Éditeur: IEEE
DOI: 10.1109/ACCESS.2023.3269581

A Close-Range Photogrammetric Surface Scanner and its Evaluation

Auteurs: Panagiotis Koutlemanis; Xenophon Zabulis; Nikolaos Menelaos Stivaktakis; Nikolaos Partarakis; Emmanouil Zidianakis; Ioanna Demeridou
Publié dans: Preprints, Numéro 2023071609, 2023
Éditeur: MDPI
DOI: 10.20944/preprints202307.1609.v1

Nearest Neighbor-Based Data Denoising for Deep Metric Learning

Auteurs: Galanakis, George; Zabulis, Xenophon; Argyros, Antonis
Publié dans: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Numéro 20, 2024
DOI: 10.5281/zenodo.10630698

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