Deliverables
[M3] – Report Analysis of existing European IoT platforms and reusable assets
(PU; M9; UPM). It contains the description of the overall methodologies to assess different KPI and the specific ACTIVAGE Evidence Open Data Base tool for data collection for common indicators and for local indicators for each site.
[M6, M24, M36] – definition of the user and user’s environment requirements for an interoperable IoT system for ageing well.
[M15, M121]: Support-deployment sites with the description of the management toolkit and the training program for the different innovation phases.
(PU; M24; MADOPA) An interim assessment for the Demonstration and Expand phases of the IoT ecosystems.
[M12, M30]: Provides a set of methods and tools for (non-)technical developers to create applications and services within AIOTES.
[M18, M36] Provides a common interface and a universal online platform as a one-stop-shop for all ACTIVAGE cross pilot end-user applications and services.
[M12, M24 final version] - Analysis of devices (smart nodes and gateways) required to implement the use cases considered in the Deployment sites. Report on IoT devices
[M15, M21]: Support-deployment sites with the description of the management toolkit and the training program for the different innovation phases.
Identify main ethical issues and how will address them during its lifetime.
(PU; M6, M22, M30, MEDEA) It refines the initial list of Global and Local KPIs and describes the common methodology for the evaluation framework.
[M12, M30]: Provides a set of methods and tools for (non-)technical developers to create applications and services within AIOTES.
[M12, M24 final version] - Analysis of devices (smart nodes and gateways) required to implement the use cases considered in the Deployment sites.
(PU; M6, MEDEA) It refines the initial list of Global and Local KPIs and describes the common methodology for the evaluation framework.
(PU; M9, M22, M30; UPM). It contains the description of the overall methodologies to assess different KPI and the specific ACTIVAGE Evidence Open Data Base tool for data collection for common indicators and for local indicators for each site.
[M9, M24] – Document to facilitate the relationship between several and different IoT European platform.
(PU; M6, M22, M30, MEDEA) It refines the initial list of Global and Local KPIs and describes the common methodology for the evaluation framework.
[M21]: Provide validation results compilation and analysis until the start of the Grow phase of the innovation path.
[M6] – definition of the user and user’s environment requirements for an interoperable IoT system for ageing well.
[M30, M38] – Definition and analysis of the general scenarios and IoT actions for replicability and sustainability
(PU; M9, M22, M30; UPM). It contains the description of the overall methodologies to assess different KPI and the specific ACTIVAGE Evidence Open Data Base tool for data collection for common indicators and for local indicators for each site.
[M9, M24] – Document to facilitate the relationship between several and different IoT European platform.
Document reporting the strategy to be adopted within the project regarding the data management, knowledge and IPR issues. Update in Month 42
[M3] – Set-up and report of web tools for dissemination purposes (Website, Blog, Social Media)
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Publications
Author(s): Stefanos Stavrotheodoros, Nikolaos Kaklanis, Konstantinos Votis, Dimitrios Tzovaras
Published in: IFIP International Conference on Artificial Intelligence Applications and Innovations, Issue vol 520, 2018, Page(s) 238-249
DOI: 10.1007/978-3-319-92016-0_22
Author(s): Giuseppe Fico, Juan-Bautista Montalva, Alejandro Medrano, Nikos Liappas, Angeles Mata-Díaz, Gloria Cea, Maria Teresa Arredondo
Published in: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017, 2017, Page(s) 1089-1092
DOI: 10.1007/978-981-10-5122-7_272
Author(s): Ilias Kalamaras, Nikolaos Kaklanis, Kostantinos Votis, Dimitrios Tzovaras
Published in: IFIP International Conference on Artificial Intelligence Applications and Innovations, Issue vol. 520, 2018, Page(s) 13-23
DOI: 10.1007/978-3-319-92016-0_2
Author(s): Pierre Barralon and Inigo Dorronsoro ˜
Health Division of Tecnalia
Donostia-San Sebastian, 20009 Spain
Published in: SMART 2017 : The Sixth International Conference on Smart Cities, Systems, Devices and Technologies, 2017
Author(s): Niccolò Mora, Guido Matrella, Paolo Ciampolini
Published in: Sensors, Issue 18/6, 2018, Page(s) 1951, ISSN 1424-8220
DOI: 10.3390/s18061951
Author(s): Andreas Braun, Reiner Wichert, Antonio Maña
Published in: Lecture Notes in Computer Science, 2017, Page(s) 183-196
DOI: 10.1007/978-3-319-56997-0
Author(s): Sergio Guillen (1), Pilar Sala (1), Giuseppe Fico (2), Maríaa Teresa Arredondo (2), Alicia Cano (3), Jorge Posada (3), Germán Gutiérrez (3), Carlos Palau (19), Konstantinos Votis (20)
1MYSPHERA, Spain
2Universidad Politecnica de Madrid, Spain ´
3MEDTRONIC IBERICA, Spain
19Universidad Politecnica de Valencia, Spain ´
20Centre for Research & Technology – Hellas, Greece
Published in: River Publishers Series in Communications, 2017, Page(s) 224-231
Author(s): European Commission’s DG Connect and DG Grow
Published in: NEIGHBOURHOODS OF THE FUTURE, 2017, Page(s) 42
