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2023
Journal article
Open Access
Privacy by design in systems for assisted living, personalized care and well-being: a stakeholder analysis
Carboni A., Russo D., Moroni D., Barsocchi P.
The concept of privacy-by-design within a system for assisted living, personalized care and well-being is crucial to protect users from misuse of the data collected about their health. Especially if the information is collected through audio-video devices, the question is even more delicate due to the nature of this data. In fact, in addition to guaranteeing a high level of privacy, it is necessary to reassure end-users about the correct use of these streams. The evolution of data analysis techniques began to take In review on an important role and increasingly defined characteristics in recent years. In this article, with reference to European projects in the AHA/AAL domain, we will see a differentiation of the concept of privacy-by-design according to different dimensions (Technical, Contextual, Business) and to the Stakeholders involved. The analysis is intended to cover technical aspects, legislative and policies-related aspects also regarding the point of view of the municipalities and aspects related to the acceptance and, therefore, to the perception of the safety of these technologies by the final end-users.Source: Frontiers in digital health (2023). doi:10.3389/fdgth.2022.934609
DOI: 10.3389/fdgth.2022.934609
Project(s): PlatformUptake.eu
Metrics:
Carboni A., Russo D., Moroni D., Barsocchi P.
The concept of privacy-by-design within a system for assisted living, personalized care and well-being is crucial to protect users from misuse of the data collected about their health. Especially if the information is collected through audio-video devices, the question is even more delicate due to the nature of this data. In fact, in addition to guaranteeing a high level of privacy, it is necessary to reassure end-users about the correct use of these streams. The evolution of data analysis techniques began to take In review on an important role and increasingly defined characteristics in recent years. In this article, with reference to European projects in the AHA/AAL domain, we will see a differentiation of the concept of privacy-by-design according to different dimensions (Technical, Contextual, Business) and to the Stakeholders involved. The analysis is intended to cover technical aspects, legislative and policies-related aspects also regarding the point of view of the municipalities and aspects related to the acceptance and, therefore, to the perception of the safety of these technologies by the final end-users.Source: Frontiers in digital health (2023). doi:10.3389/fdgth.2022.934609
DOI: 10.3389/fdgth.2022.934609
Project(s): PlatformUptake.eu
Metrics:
See at:
ISTI Repository 
| ISTI Repository | www.frontiersin.org | CNR ExploRA
2022
Conference article
Open Access
Measuring the uptaking of digital health platforms on AAL/AHA domain
Juiz C., Bermejo B., Nikolov A., Rus S., Carboni A., Russo D., Moroni D., Karanastasis We., Andronikou V., Samuelsson C., Lievens F., Van Berlo A., Van Staalduinen W., Cabrera-Umpierrez M. F.
This paper presents a method to determine the metrics to assess the uptake of Ambient Assisted Living (AAL) platforms. The different platforms are offering various resources to construct digital health products oriented to Active and Healthy Ageing (AHA) and social health care. This research work is ad-dressed to identify and define which metrics could be Key Performance Indicators (KPIs) to be tracked for successful uptake, interoperability, synergies, and cost-benefit analysis of open platforms.Source: ICICT 2022 - 7th International Congress on Information and Communication Technology, London, UK, 23-24/2/2022
DOI: 10.1007/978-981-19-1610-6_45
Project(s): PlatformUptake.eu
Metrics:
Juiz C., Bermejo B., Nikolov A., Rus S., Carboni A., Russo D., Moroni D., Karanastasis We., Andronikou V., Samuelsson C., Lievens F., Van Berlo A., Van Staalduinen W., Cabrera-Umpierrez M. F.
This paper presents a method to determine the metrics to assess the uptake of Ambient Assisted Living (AAL) platforms. The different platforms are offering various resources to construct digital health products oriented to Active and Healthy Ageing (AHA) and social health care. This research work is ad-dressed to identify and define which metrics could be Key Performance Indicators (KPIs) to be tracked for successful uptake, interoperability, synergies, and cost-benefit analysis of open platforms.Source: ICICT 2022 - 7th International Congress on Information and Communication Technology, London, UK, 23-24/2/2022
DOI: 10.1007/978-981-19-1610-6_45
Project(s): PlatformUptake.eu
Metrics:
See at:
ISTI Repository | doi.org 
| hal.archives-ouvertes.fr | link.springer.com | CNR ExploRA
2022
Conference article
Open Access
Computer vision per sistemi di trasporto intelligenti: il progetto S.Pa.Ce.
Leone G. R., Carboni A., Nardi S., Moroni D.
Lo Smart Passenger Center (SPaCe) è una piattaforma integrata che mira a superare la complessità della gestione centralizzata delle infrastrutture di trasporto pubblico e dei veicoli. Il motore di intelligenza artificiale esamina i flussi quotidiani di persone, correla dati ed eventi diversi, prevede minacce ed eventi critici e propone contromisure. Questa enorme mole di dati proviene da una rete pervasiva di telecamere intelligenti che monitora costantemente le attività in stazioni, treni, autobus e altri luoghi di interesse. In questo lavoro, presentiamo il sottosistema distribuito di visione artificiale, lo stato dell'arte delle tecniche adottate e le funzionalità avanzate che questo sistema di sorveglianza intelligente offre ai livelli superiori di SPaCe. Tutto è sviluppato seguendo il paradigma della privacy-by-design: nessuna immagine viene registrata o trasmessa, ma tutte le elaborazioni avvengono sui nodi periferici del sistema.Source: ITAL-IA 2022 - Convegno nazionale CINI sull'intelligenza Artificiale, Turin, Online conference, 10/02/2022
Leone G. R., Carboni A., Nardi S., Moroni D.
Lo Smart Passenger Center (SPaCe) è una piattaforma integrata che mira a superare la complessità della gestione centralizzata delle infrastrutture di trasporto pubblico e dei veicoli. Il motore di intelligenza artificiale esamina i flussi quotidiani di persone, correla dati ed eventi diversi, prevede minacce ed eventi critici e propone contromisure. Questa enorme mole di dati proviene da una rete pervasiva di telecamere intelligenti che monitora costantemente le attività in stazioni, treni, autobus e altri luoghi di interesse. In questo lavoro, presentiamo il sottosistema distribuito di visione artificiale, lo stato dell'arte delle tecniche adottate e le funzionalità avanzate che questo sistema di sorveglianza intelligente offre ai livelli superiori di SPaCe. Tutto è sviluppato seguendo il paradigma della privacy-by-design: nessuna immagine viene registrata o trasmessa, ma tutte le elaborazioni avvengono sui nodi periferici del sistema.Source: ITAL-IA 2022 - Convegno nazionale CINI sull'intelligenza Artificiale, Turin, Online conference, 10/02/2022
See at:
ISTI Repository | ISTI Repository | www.ital-ia2022.it | CNR ExploRA
2022
Conference article
Open Access
Toward pervasive computer vision for intelligent transport system
Leone G. R., Carboni A., Nardi S., Moroni D.
The Smart Passenger Center (SPaCe) is a fully integrated platform that aims to overcome the complexity of centralized management of public transport infrastructure and vehicles. The SPaCe artificial intelligence engine predicts threats and critical events and proposes countermeasures by examining the daily flows of people and correlating different data and events, thanks to machine learning and big data analytics. All this massive data comes from a pervasive smart cameras network that constantly monitors activities in stations, trains, buses and other places of interest. In this work, we present the idea of this computer vision distributed sub-system, the state of the art of the techniques involved and the advanced functionalities that this intelligent surveillance system offers to the upper layers. Everything is developed following the privacy-by-design paradigm; namely, no real image is recorded or transmitted, but all the elaborations take place on the edge nodes of the system.Source: PERCOMM 2022 - IEEE International Conference on Pervasive Computing and Communications, Pisa, Italy, 21-25/03/2022
DOI: 10.1109/percomworkshops53856.2022.9767376
Metrics:
Leone G. R., Carboni A., Nardi S., Moroni D.
The Smart Passenger Center (SPaCe) is a fully integrated platform that aims to overcome the complexity of centralized management of public transport infrastructure and vehicles. The SPaCe artificial intelligence engine predicts threats and critical events and proposes countermeasures by examining the daily flows of people and correlating different data and events, thanks to machine learning and big data analytics. All this massive data comes from a pervasive smart cameras network that constantly monitors activities in stations, trains, buses and other places of interest. In this work, we present the idea of this computer vision distributed sub-system, the state of the art of the techniques involved and the advanced functionalities that this intelligent surveillance system offers to the upper layers. Everything is developed following the privacy-by-design paradigm; namely, no real image is recorded or transmitted, but all the elaborations take place on the edge nodes of the system.Source: PERCOMM 2022 - IEEE International Conference on Pervasive Computing and Communications, Pisa, Italy, 21-25/03/2022
DOI: 10.1109/percomworkshops53856.2022.9767376
Metrics:
See at:
ISTI Repository | ieeexplore.ieee.org | CNR ExploRA
2022
Report
Open Access
SI-Lab annual research report 2021
Righi M., Leone G. R., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Berti A., Bruno A., Buongiorno R., Carloni G., Conti F., Germanese D., Ignesti G., Matarese F., Omrani A., Pachetti E., Papini O., Benassi A., Bertini G., Coltelli P., Tarabella L., Straface S., Salvetti O., Moroni D.
The Signal & Images Laboratory is an interdisciplinary research group in computer vision, signal analysis, intelligent vision systems and multimedia data understanding. It is part of the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR). This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2021.Source: ISTI Annual reports, 2022
DOI: 10.32079/isti-ar-2022/003
Metrics:
Righi M., Leone G. R., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Berti A., Bruno A., Buongiorno R., Carloni G., Conti F., Germanese D., Ignesti G., Matarese F., Omrani A., Pachetti E., Papini O., Benassi A., Bertini G., Coltelli P., Tarabella L., Straface S., Salvetti O., Moroni D.
The Signal & Images Laboratory is an interdisciplinary research group in computer vision, signal analysis, intelligent vision systems and multimedia data understanding. It is part of the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR). This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2021.Source: ISTI Annual reports, 2022
DOI: 10.32079/isti-ar-2022/003
Metrics:
See at:
ISTI Repository | CNR ExploRA
2021
Report
Open Access
SI-Lab Annual Research Report 2020
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Annual Report, ISTI-2021-AR/001, pp.1–38, 2021
DOI: 10.32079/isti-ar-2021/001
Metrics:
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Annual Report, ISTI-2021-AR/001, pp.1–38, 2021
DOI: 10.32079/isti-ar-2021/001
Metrics:
See at:
ISTI Repository | CNR ExploRA
2021
Conference article
Open Access
Success and hindrance factors of AHA-oriented open service platforms
Carboni A., Russo D., Moroni D., Barsocchi P., Nikolov A., Dantas C., Guardado D., Leandro A. F., Van Staalduinen W., Karanastasis E., Andronikou V., Ganzarain J., Rus S., Lievens F., Oliveira Vieira J., Juiz C., Bermejo B., Samuelsson C., Ekström A., Fernanda Cabrera-Umpierrez M. F., De Los Rios Peres S., Van Berlo A.
In the past years, there has been a flourishing of platforms dedicated to Active Assisted Living (AAL) and Active and Healthy Ageing (AHA). Most of them feature as their core elements intelligent systems for the analysis of multisource and multimodal data coming from sensors of various nature inserted in suitable IoT ecosystems. While progress in signal processing and artificial intelligence has shown how these platforms may have a great potential in improving the daylife of seniors or frail subjects, there are still several technological and non-technological barriers that should be torn down before full uptake of the existing solutions. In this paper, we address specifically this issue describing the outcome and creation process of a methodology aimed at evaluating the successful uptake of existing platforms in the field of AHA. We propose a pathway (as part of an overarching methodology) to define and select for Key Performance Indicators (KPIs), taking into account an extensive amount of parameters related to success, uptake and evolution of platforms. For this, we contribute a detailed analysis structured along with the 4 main actions of mapping, observing, understanding, and defining. Our analysis focuses on Platforms, defined as operating environments, under which various applications, agents and intelligent services are designed, implemented, tested, released and maintained. By following the proposed pathway, we were able to define a practical and effective methodology for monitoring and evaluating the uptake and other success indicators of AHA platforms. Besides, by the same token, we were able to provide guidelines and best practices for the development of the next-generation platforms in the AHA domain.Source: ICCCI 2021 - 13th International Conference on Computational Collective Intelligence, pp. 656–668, Rhodes, Greece, September 29 - October 1, 2021
DOI: 10.1007/978-3-030-88113-9_53
Project(s): PlatformUptake.eu
Metrics:
Carboni A., Russo D., Moroni D., Barsocchi P., Nikolov A., Dantas C., Guardado D., Leandro A. F., Van Staalduinen W., Karanastasis E., Andronikou V., Ganzarain J., Rus S., Lievens F., Oliveira Vieira J., Juiz C., Bermejo B., Samuelsson C., Ekström A., Fernanda Cabrera-Umpierrez M. F., De Los Rios Peres S., Van Berlo A.
In the past years, there has been a flourishing of platforms dedicated to Active Assisted Living (AAL) and Active and Healthy Ageing (AHA). Most of them feature as their core elements intelligent systems for the analysis of multisource and multimodal data coming from sensors of various nature inserted in suitable IoT ecosystems. While progress in signal processing and artificial intelligence has shown how these platforms may have a great potential in improving the daylife of seniors or frail subjects, there are still several technological and non-technological barriers that should be torn down before full uptake of the existing solutions. In this paper, we address specifically this issue describing the outcome and creation process of a methodology aimed at evaluating the successful uptake of existing platforms in the field of AHA. We propose a pathway (as part of an overarching methodology) to define and select for Key Performance Indicators (KPIs), taking into account an extensive amount of parameters related to success, uptake and evolution of platforms. For this, we contribute a detailed analysis structured along with the 4 main actions of mapping, observing, understanding, and defining. Our analysis focuses on Platforms, defined as operating environments, under which various applications, agents and intelligent services are designed, implemented, tested, released and maintained. By following the proposed pathway, we were able to define a practical and effective methodology for monitoring and evaluating the uptake and other success indicators of AHA platforms. Besides, by the same token, we were able to provide guidelines and best practices for the development of the next-generation platforms in the AHA domain.Source: ICCCI 2021 - 13th International Conference on Computational Collective Intelligence, pp. 656–668, Rhodes, Greece, September 29 - October 1, 2021
DOI: 10.1007/978-3-030-88113-9_53
Project(s): PlatformUptake.eu
Metrics:
See at:
ISTI Repository | link.springer.com | CNR ExploRA
2021
Report
Unknown
SPaCe - Documento di studio e definizione delle tecnologie e degli algoritmi di analitica del trasporto pubblico
Leone G. R., Moroni D., Magrini M., Pardini F., Carboni A.
Nel contesto del progetto Space in questo documento verrà presentato uno studio e la definizione delle tecnologie applicabili al trasporto pubblico. I casi d'uso di interesse sono principalmente due: il caso d'uso su gomma, con riferimento a mezzi tipo bus cittadini, e il caso d'uso su rotaia, in riferimento al trasporto ferroviario. Gli obiettivi sono molteplici e riguardano principalmente il comportamento dei passeggeri a bordo o in attesa dei mezzi, la ricostruzione di un viaggio che consiste nella concatenazione di tratte effettuate su mezzi diversi, il controllo degli oggetti e il monitoraggio dello stato dei mezzi sia per questioni di sicurezza che di manutenzione degli stessi. In generale sono state identificate due macro aree di riferimento: Controllo degli spazi e Controllo dei passeggeri.Source: ISTI Project report, SPaCe, D1.4.1, 2021
Leone G. R., Moroni D., Magrini M., Pardini F., Carboni A.
Nel contesto del progetto Space in questo documento verrà presentato uno studio e la definizione delle tecnologie applicabili al trasporto pubblico. I casi d'uso di interesse sono principalmente due: il caso d'uso su gomma, con riferimento a mezzi tipo bus cittadini, e il caso d'uso su rotaia, in riferimento al trasporto ferroviario. Gli obiettivi sono molteplici e riguardano principalmente il comportamento dei passeggeri a bordo o in attesa dei mezzi, la ricostruzione di un viaggio che consiste nella concatenazione di tratte effettuate su mezzi diversi, il controllo degli oggetti e il monitoraggio dello stato dei mezzi sia per questioni di sicurezza che di manutenzione degli stessi. In generale sono state identificate due macro aree di riferimento: Controllo degli spazi e Controllo dei passeggeri.Source: ISTI Project report, SPaCe, D1.4.1, 2021
See at: CNR ExploRA
2021
Report
Open Access
PlatformUptake.eu - D4.4 - AHA open service platforms baseline report
Carboni A., Russo D., Moroni D., Barsocchi P.
This deliverable presents the outcome of the activities carried out within task T4.4: "Create a baseline report including the main outcomes of the analysis to support the platform improvement and uptake". The goal of this task is to show a general overview of the state-of-art of open platforms, their users, networks, stakeholders, functionalities, outcomes, benefits etc. To achieve this the project consortium analysed all the work which was done in WP2 and in previous tasks in WP4 and carried out further evaluation and refinement of the selected KPIs. To support further development activities in the field the report highlights identified gaps in the ecosystem of open platforms for Active and Healthy Ageing (AHA) and Ambient and Assisted Living (AAL) and makes recommendations to current or future providers of open platforms on how to effectively tackle these challenges.Source: ISTI Project report, PlatformUptake.eu, D4.4, 2021
Project(s): PlatformUptake.eu
Carboni A., Russo D., Moroni D., Barsocchi P.
This deliverable presents the outcome of the activities carried out within task T4.4: "Create a baseline report including the main outcomes of the analysis to support the platform improvement and uptake". The goal of this task is to show a general overview of the state-of-art of open platforms, their users, networks, stakeholders, functionalities, outcomes, benefits etc. To achieve this the project consortium analysed all the work which was done in WP2 and in previous tasks in WP4 and carried out further evaluation and refinement of the selected KPIs. To support further development activities in the field the report highlights identified gaps in the ecosystem of open platforms for Active and Healthy Ageing (AHA) and Ambient and Assisted Living (AAL) and makes recommendations to current or future providers of open platforms on how to effectively tackle these challenges.Source: ISTI Project report, PlatformUptake.eu, D4.4, 2021
Project(s): PlatformUptake.eu
See at:
ISTI Repository | CNR ExploRA
2020
Contribution to conference
Open Access
Augmented reality and intelligent systems in Industry 4.0
Benassi A., Carboni A., Colantonio S., Coscetti S., Germanese D., Jalil B., Leone R., Magnavacca J., Magrini M., Martinelli M., Matarese F., Moroni D., Paradisi P., Pardini F., Pascali M., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
Augmented reality and intelligent systems in Industry 4.0 - Presentazione ARTESSource: ARTES, 12/11/2020
DOI: 10.5281/zenodo.4277713
DOI: 10.5281/zenodo.4277712
Metrics:
Benassi A., Carboni A., Colantonio S., Coscetti S., Germanese D., Jalil B., Leone R., Magnavacca J., Magrini M., Martinelli M., Matarese F., Moroni D., Paradisi P., Pardini F., Pascali M., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
Augmented reality and intelligent systems in Industry 4.0 - Presentazione ARTESSource: ARTES, 12/11/2020
DOI: 10.5281/zenodo.4277713
DOI: 10.5281/zenodo.4277712
Metrics:
See at:
ISTI Repository | CNR ExploRA
2020
Report
Unknown
WeAreClouds@Lucca - D1.1 Analisi del territorio
Massoli F. V., Carboni A., Moroni D, Falchi F.
Deliverable D1.1 del progetto WeAreClouds@Lucca. Analisi potenziali utilizzi delle tecnologie sviluppate e in corso di sviluppo al CNR nell'ambito del CNR e in funzione delle telecamere dislocate nel territorio del Comujne di Lucca.Source: ISTI Project report, WeAreClouds@Lucca, D1.1, 2020
Massoli F. V., Carboni A., Moroni D, Falchi F.
Deliverable D1.1 del progetto WeAreClouds@Lucca. Analisi potenziali utilizzi delle tecnologie sviluppate e in corso di sviluppo al CNR nell'ambito del CNR e in funzione delle telecamere dislocate nel territorio del Comujne di Lucca.Source: ISTI Project report, WeAreClouds@Lucca, D1.1, 2020
See at: CNR ExploRA
2020
Report
Open Access
WeAreClouds@Lucca - D1.2 Stato dell'arte scientifico
Massoli F. V., Carboni A., Moroni D., Falchi F.
Deliverable D1.2 del progetto WeAreClouds@Lucca. Stato dell'arte scientificoSource: ISTI Project report, WeAreClouds@Lucca, D1.2, 2020
Massoli F. V., Carboni A., Moroni D., Falchi F.
Deliverable D1.2 del progetto WeAreClouds@Lucca. Stato dell'arte scientificoSource: ISTI Project report, WeAreClouds@Lucca, D1.2, 2020
See at:
ISTI Repository | CNR ExploRA
2020
Report
Unknown
WeAreClouds@Lucca - D1.3 Definizione dei requisiti
Carboni A., Massoli F. V., Moroni D., Leone G. R., Falchi F.
Deliverable D1.3 Definizione dei requisiti del progetto WeAreClouds@LuccaSource: ISTI Project report, WeAreClouds@Lucca, D1.3, 2020
Carboni A., Massoli F. V., Moroni D., Leone G. R., Falchi F.
Deliverable D1.3 Definizione dei requisiti del progetto WeAreClouds@LuccaSource: ISTI Project report, WeAreClouds@Lucca, D1.3, 2020
See at: CNR ExploRA
2020
Report
Open Access
PlatformUptake.eu - D2.1 - European Open Service Platforms in the AHA Domain - Ecosystem Map
Carboni A., Russo D., Moroni D., Barsocchi P.
Within this document, the activities related to Task T2.1 "Map the ecosystem by collecting existing open-source platforms in the Active and Healthy Aging Domain, their end-users and related stakeholders" are described and discussed. Initially, the PlatformUptake.eu glossary (which can be consulted in Chapter 3) is presented. The glossary was conceived to meet the need of introducing and describing unambiguously the terminology used in PlatformUptake.eu, with particular attention to the definitions of project, platform and the various types of end-users and stakeholders involved. The analysis focuses on platforms within the AAL/AHA (Active Assisted Living / Active and Healthy Ageing) application domains; nevertheless, more generic platforms that have AHA among their possible application domains have also been included. The first phase concerned the identification of the platforms which have been the most representative in AAL/AHA research in the last 10 years. From this first group of 48 projects, 18 were selected to be part of the ecosystem map. The selection criteria concerned various factors such as, among others, the impact on research in the AAL / AHA sectors and the European coverage that have led to prefer platforms that have laid the foundations for the subsequent ones. The ecosystem map is conceived as a set of views belonging to four different domains: geographic, relationship, application and temporal. For each of these domains, a distinct analysis accompanied by a specific graphic representation has been performed and presented. The identification of the domains of interest has therefore made it possible to understand the key characteristics necessary for the correct placement of each platform within the ecosystem, by singling out its main characteristics and relations with the other platforms. Finally, a platform record containing this information has been created and made available for each platform.Source: Project Report, PlatformUptake.eu, D2.1, 2020
Project(s): PlatformUptake.eu
Carboni A., Russo D., Moroni D., Barsocchi P.
Within this document, the activities related to Task T2.1 "Map the ecosystem by collecting existing open-source platforms in the Active and Healthy Aging Domain, their end-users and related stakeholders" are described and discussed. Initially, the PlatformUptake.eu glossary (which can be consulted in Chapter 3) is presented. The glossary was conceived to meet the need of introducing and describing unambiguously the terminology used in PlatformUptake.eu, with particular attention to the definitions of project, platform and the various types of end-users and stakeholders involved. The analysis focuses on platforms within the AAL/AHA (Active Assisted Living / Active and Healthy Ageing) application domains; nevertheless, more generic platforms that have AHA among their possible application domains have also been included. The first phase concerned the identification of the platforms which have been the most representative in AAL/AHA research in the last 10 years. From this first group of 48 projects, 18 were selected to be part of the ecosystem map. The selection criteria concerned various factors such as, among others, the impact on research in the AAL / AHA sectors and the European coverage that have led to prefer platforms that have laid the foundations for the subsequent ones. The ecosystem map is conceived as a set of views belonging to four different domains: geographic, relationship, application and temporal. For each of these domains, a distinct analysis accompanied by a specific graphic representation has been performed and presented. The identification of the domains of interest has therefore made it possible to understand the key characteristics necessary for the correct placement of each platform within the ecosystem, by singling out its main characteristics and relations with the other platforms. Finally, a platform record containing this information has been created and made available for each platform.Source: Project Report, PlatformUptake.eu, D2.1, 2020
Project(s): PlatformUptake.eu
See at:
ISTI Repository | CNR ExploRA
2020
Report
Open Access
PlatformUptake.eu - D2.3 - European Open Service Platforms in the AHA Domain - Stakeholder Interviews Report
Carboni A., Russo D., Moroni D., Barsocchi P.
Within this document, the activities related to Task T2.3 "Run interviews and other types of consultations with platform developers to identify further hidden factors affecting their uptake and evolution "are described and discussed. The activities depart from the final group of eight platforms identified in T2.2: AIOTES, UniversAAL, Fiware, EkoSmart, Onesait, Sensinact, Reach2020 and Uncap. The work carried out so far within T2.1 and T2.2 has allowed us to better understand the characteristics and differences between the various platforms. The analysis of the existing context and the platforms explored led us to focus on the above-mentioned eight. The purpose of this task is to deepen the knowledge on this poll of platforms by directly questioning the professionals who took part in the creation, management, development and maintenance phases of these platforms, to try to obtain information that is difficult to find in the official documentation. Starting from the analysis made in T2.2, three dimensions have been defined: Technical, Contextual and Business. The three dimensions have been mapped using two questionnaires: one relating to the technical dimension to be sent to platform developers, the other one relating to the contextual business dimension, to be sent to executives. This deliverable aims to provide a complete view of the eight platforms and to acquire more comprehensive understanding on possible success and hindrance factors based on their characteristics, existing networks and stakeholders. Such a view, as to be able to define what could be an ideal platform, highlighting weaknesses and strengths that emerged from the responses to the questionnaires. After a description of the work carried out to define the questions constituting the surveys and summarize the provided answers, the report concludes by trying to highlight success or hinderance factors seen in a general perspective. This with the aim to create the fundamentals for an ideal platform, taking advantage of the strong points highlighted and trying to avoid errors that may have compromised or slowed down the full development of the platforms under consideration.Source: Project Report, PlatformUptake.eu, D2.3, 2020
Project(s): PlatformUptake.eu
Carboni A., Russo D., Moroni D., Barsocchi P.
Within this document, the activities related to Task T2.3 "Run interviews and other types of consultations with platform developers to identify further hidden factors affecting their uptake and evolution "are described and discussed. The activities depart from the final group of eight platforms identified in T2.2: AIOTES, UniversAAL, Fiware, EkoSmart, Onesait, Sensinact, Reach2020 and Uncap. The work carried out so far within T2.1 and T2.2 has allowed us to better understand the characteristics and differences between the various platforms. The analysis of the existing context and the platforms explored led us to focus on the above-mentioned eight. The purpose of this task is to deepen the knowledge on this poll of platforms by directly questioning the professionals who took part in the creation, management, development and maintenance phases of these platforms, to try to obtain information that is difficult to find in the official documentation. Starting from the analysis made in T2.2, three dimensions have been defined: Technical, Contextual and Business. The three dimensions have been mapped using two questionnaires: one relating to the technical dimension to be sent to platform developers, the other one relating to the contextual business dimension, to be sent to executives. This deliverable aims to provide a complete view of the eight platforms and to acquire more comprehensive understanding on possible success and hindrance factors based on their characteristics, existing networks and stakeholders. Such a view, as to be able to define what could be an ideal platform, highlighting weaknesses and strengths that emerged from the responses to the questionnaires. After a description of the work carried out to define the questions constituting the surveys and summarize the provided answers, the report concludes by trying to highlight success or hinderance factors seen in a general perspective. This with the aim to create the fundamentals for an ideal platform, taking advantage of the strong points highlighted and trying to avoid errors that may have compromised or slowed down the full development of the platforms under consideration.Source: Project Report, PlatformUptake.eu, D2.3, 2020
Project(s): PlatformUptake.eu
See at:
ISTI Repository | CNR ExploRA
2020
Report
Open Access
PlatformUptake.eu - D2.2 - European open service platforms in the AHA domain analysis report
Dantas C., Vieira J., Nikolov A., Carboni A.
Within this document, the activities related to Task T2.2 "Observe common and differentiating features and characteristics of existing platforms that can act as success or hindrance factors in their uptake" are described and discussed. The analysis departs from the ecosystem of platforms built under T2.1 and fully described in D2.1 European Open Service Platforms in the AHA Domain - Ecosystem Map. From a first group of 48 projects identified as some of the most representative in AAL/AHA (Active Assisted Living / Active and Healthy Ageing) research in the last 10 years, 18 were selected to become part of the ecosystem map. The selection criteria in T2.1 concerned various factors such as the impact on research in the AAL / AHA sector, the European coverage and also other determinants that have led to select platforms that have laid the foundations for the subsequent ones. Some refined selection criteria were added in T2.2 when performing the in-depth analysis, namely the development timeline and current status of the platforms, as well as their final scope and outputs, and on these grounds a three-layered investigation was performed, as detailed in the methodology section of this document. Based on this revised list presented in section 1.1, this deliverable aims thus to provide a deeper analysis of eight platforms, to acquire a better understanding on possible success and hindrance factors based on their characteristics, existing networks and stakeholders. Section 2 provides the three-fold analysis referred: a technical analysis of the platforms, including the description of the features, functionalities and services provided by each of them; a contextual analysis that includes legal, ethical and data concerned information; and a business analysis where the details concerning financial and exploitation aspects are described. The outcome of these thematic investigations is articulated and combined in section 3, with the aim to understand which were the determining factors that supported or contributed to the current state of art. This report concludes with a proposal of a scheme displaying the success and hindrance factors of each platform and that will be further elaborated on within the subsequent tasks of the PlatformUptake.eu projectSource: ISTI Project report, PlatformUptake.eu, D2.2, 2020
Project(s): PlatformUptake.eu
Dantas C., Vieira J., Nikolov A., Carboni A.
Within this document, the activities related to Task T2.2 "Observe common and differentiating features and characteristics of existing platforms that can act as success or hindrance factors in their uptake" are described and discussed. The analysis departs from the ecosystem of platforms built under T2.1 and fully described in D2.1 European Open Service Platforms in the AHA Domain - Ecosystem Map. From a first group of 48 projects identified as some of the most representative in AAL/AHA (Active Assisted Living / Active and Healthy Ageing) research in the last 10 years, 18 were selected to become part of the ecosystem map. The selection criteria in T2.1 concerned various factors such as the impact on research in the AAL / AHA sector, the European coverage and also other determinants that have led to select platforms that have laid the foundations for the subsequent ones. Some refined selection criteria were added in T2.2 when performing the in-depth analysis, namely the development timeline and current status of the platforms, as well as their final scope and outputs, and on these grounds a three-layered investigation was performed, as detailed in the methodology section of this document. Based on this revised list presented in section 1.1, this deliverable aims thus to provide a deeper analysis of eight platforms, to acquire a better understanding on possible success and hindrance factors based on their characteristics, existing networks and stakeholders. Section 2 provides the three-fold analysis referred: a technical analysis of the platforms, including the description of the features, functionalities and services provided by each of them; a contextual analysis that includes legal, ethical and data concerned information; and a business analysis where the details concerning financial and exploitation aspects are described. The outcome of these thematic investigations is articulated and combined in section 3, with the aim to understand which were the determining factors that supported or contributed to the current state of art. This report concludes with a proposal of a scheme displaying the success and hindrance factors of each platform and that will be further elaborated on within the subsequent tasks of the PlatformUptake.eu projectSource: ISTI Project report, PlatformUptake.eu, D2.2, 2020
Project(s): PlatformUptake.eu
See at:
ISTI Repository | CNR ExploRA
2019
Report
Open Access
Developing a Tele-Visit system in ACTIVAGE project
Carboni A.
The work described in this technical note is part of the technological development activities, for the year 2018, related to the H2020 project ACTIVAGE, a European Multi Centric Large Scale Pilot on Smart Living Environments.Source: ISTI Technical reports, 2019
Project(s): ACTIVAGE
Carboni A.
The work described in this technical note is part of the technological development activities, for the year 2018, related to the H2020 project ACTIVAGE, a European Multi Centric Large Scale Pilot on Smart Living Environments.Source: ISTI Technical reports, 2019
Project(s): ACTIVAGE
See at:
ISTI Repository | CNR ExploRA
2019
Report
Open Access
ACTIVAGE - Report on IoT devices
Diaz Nava M., Ortiz Sanchez B., Sala P., Martinez A., Bautista Montalva J., Medrano A., Tazari M. R., Ben-Hmida H., Loubier T., Gallissot M., Bergeon S., Kaklanis N., Votis K., Tiovaras D., Mistakis E., Roca F., Molina Moreno R., Ail R., Bangash A., Girolami M., Russo D., Carboni A., Stocklöw C., Mizaras V., Mäkelä R.
In order to have a complete Architecture of the ACTIVAGE platform, the device domain constituted of smart sensor and actuator nodes, gateways, connectivity and its associated protocols must be also considered. Therefore, it is imperative to identify the different devices required to implement the uses cases considered in the different Deployment sites (DSes). A systematic analysis is performed on the device, gateway, cloud and applications domains constituting each of the nine DSes. This analysis is based on several registration forms in order to gather key elements of each domain. The original goal was to collect information concerning only the device domain. However during the first months of the project, this goal changed to also include the three other domains in order to get an overall, homogenized, and rich technical information view of each DS. The additional information includes, the DS topology, the applications foreseen, the security and privacy mechanism to be implemented in the overall system, the servers used and their locations, and other information required to facilitate, in Task 3.2, the Security and Privacy assessments. Furthermore, this document gives a summary and classification of the different devices used in each DS allowing the identification of communalities, potential synergies and knowledge sharing between DSs. For the cases where, no suitable solutions are available, new devices could be prototyped in order to support a given use case with the right device or the right security protection level. Finally and in order to have a more complete document, the following aspects are also included: a list of key concepts in the device and gateway domains are explicitly defined to be shared and used in the overall project, a short introduction on the evolution of the communication systems is given in order to understand key IoT concepts at IoT architecture level and in particular at the device and gateway domains, including some security ones, and a brief market analysis on the home automation and health care devices.Source: Project report, ACTIVAGE, Deliverable D3.12, 2019
Project(s): ACTIVAGE
Diaz Nava M., Ortiz Sanchez B., Sala P., Martinez A., Bautista Montalva J., Medrano A., Tazari M. R., Ben-Hmida H., Loubier T., Gallissot M., Bergeon S., Kaklanis N., Votis K., Tiovaras D., Mistakis E., Roca F., Molina Moreno R., Ail R., Bangash A., Girolami M., Russo D., Carboni A., Stocklöw C., Mizaras V., Mäkelä R.
In order to have a complete Architecture of the ACTIVAGE platform, the device domain constituted of smart sensor and actuator nodes, gateways, connectivity and its associated protocols must be also considered. Therefore, it is imperative to identify the different devices required to implement the uses cases considered in the different Deployment sites (DSes). A systematic analysis is performed on the device, gateway, cloud and applications domains constituting each of the nine DSes. This analysis is based on several registration forms in order to gather key elements of each domain. The original goal was to collect information concerning only the device domain. However during the first months of the project, this goal changed to also include the three other domains in order to get an overall, homogenized, and rich technical information view of each DS. The additional information includes, the DS topology, the applications foreseen, the security and privacy mechanism to be implemented in the overall system, the servers used and their locations, and other information required to facilitate, in Task 3.2, the Security and Privacy assessments. Furthermore, this document gives a summary and classification of the different devices used in each DS allowing the identification of communalities, potential synergies and knowledge sharing between DSs. For the cases where, no suitable solutions are available, new devices could be prototyped in order to support a given use case with the right device or the right security protection level. Finally and in order to have a more complete document, the following aspects are also included: a list of key concepts in the device and gateway domains are explicitly defined to be shared and used in the overall project, a short introduction on the evolution of the communication systems is given in order to understand key IoT concepts at IoT architecture level and in particular at the device and gateway domains, including some security ones, and a brief market analysis on the home automation and health care devices.Source: Project report, ACTIVAGE, Deliverable D3.12, 2019
Project(s): ACTIVAGE
See at:
ISTI Repository | CNR ExploRA
2019
Journal article
Open Access
Augmented Interaction Systems for Supporting Autistic Children. Evolution of a Multichannel Expressive Tool: The SEMI Project Feasibility Study
Magrini M., Curzio O., Carboni A., Moroni D., Salvetti O., Melani A.
Background: Over the past ten years, the authors have been designing, developing, and testing pervasive technology to support children with autism (ASD). Methods: In the present study, an integrated system based on multimedia and augmented interaction technologies have been tested on young subjects with ASD and dyspraxia in the age range of 6-10 years, in charge for rehabilitation treatments; a team of clinical psychologists has analyzed the results of the experimentation. The ten children involved in the project underwent an initial assessment of praxis skills and motor coordination. Subsequently, the subjects were subdivided into two subgroups: five children participated in the experimentation and five were evaluated as the control group (treatment as usual). Results: The evaluation showed an increased score in the several aspects considered, and particularly those related to motor coordination. An improvement in balancing tests and in hands-movement testing was found. Conclusion: The children involved in the sessions showed greater ability to self-control the movement as well as to select specific motor areas. The methods used seem to be promising to improve emotional and social skills too in a motivating and enjoyable climate. A high level of acceptance by professionals was observed and parents' feedback was also positive.Source: Applied sciences 9 (2019). doi:10.3390/app9153081
DOI: 10.3390/app9153081
Metrics:
Magrini M., Curzio O., Carboni A., Moroni D., Salvetti O., Melani A.
Background: Over the past ten years, the authors have been designing, developing, and testing pervasive technology to support children with autism (ASD). Methods: In the present study, an integrated system based on multimedia and augmented interaction technologies have been tested on young subjects with ASD and dyspraxia in the age range of 6-10 years, in charge for rehabilitation treatments; a team of clinical psychologists has analyzed the results of the experimentation. The ten children involved in the project underwent an initial assessment of praxis skills and motor coordination. Subsequently, the subjects were subdivided into two subgroups: five children participated in the experimentation and five were evaluated as the control group (treatment as usual). Results: The evaluation showed an increased score in the several aspects considered, and particularly those related to motor coordination. An improvement in balancing tests and in hands-movement testing was found. Conclusion: The children involved in the sessions showed greater ability to self-control the movement as well as to select specific motor areas. The methods used seem to be promising to improve emotional and social skills too in a motivating and enjoyable climate. A high level of acceptance by professionals was observed and parents' feedback was also positive.Source: Applied sciences 9 (2019). doi:10.3390/app9153081
DOI: 10.3390/app9153081
Metrics:
See at:
Applied Sciences | ISTI Repository | Applied Sciences | Applied Sciences | ZENODO | Hyper Article en Ligne | CNR ExploRA
2019
Report
Unknown
ACTIVAGE - Interoperability layer architecture
Diaz Nava M., Ortiz Sanchez B., Martínez A., Sala P., Medrano Gil A. M., Ben Hmida H., Reza Saied Tazari M., Bergon S., Kaklanis N., Stavrotheodoros S., Votis K., Tzovaras D., Stavropoulos T., Kompatsiaris I., Usach R. G., Kassapoglou C., Dallemagne P., Carboni A., Russo D., Papadopoulou K., Stavropoulos L.
This document is the deliverable D3.2.2 or D3.7 "ACTIVAGE Interoperability layer architecture" and represent the main outcome of the activity T3.1 "Specification of the open cross-pilot ACTIVAGE architecture", that is part of Work Package WP3 "ACTIVATE Secure Interoperability Layer". The present document is also tightly related to other WP3 task: T3.4 "Implementation of the interoperability layer" that integrates T3.2 "ACTIVAGE solution for security and privacy" and T3.3 "Building bridges to the IoT protocols and platforms". The overall scope of this deliverable is to present the ACTIVATE Interoperability layer architecture. The content of this deliverable can be summarized as follows: Section 1 describes the nature and the reason why this deliverable 3.2.2 has particular relevance for the ACTIVAGE project. Moreover, this section also set the objectives to the defined structure and organisation of the document, and notes the differences between the 2 versions of the deliverable (D3.2 and D3.2.2). Section 2 is an introductory section that provides a brief description about main concepts from the Internet of Things that are involved in the ACTIVAGE project. This section also addresses the potential of Internet of Things in the context of the Active and Healthy Ageing area that concerns the ACTIVAGE project. In this section, the objectives and proposals of the deliverable are explained in detail besides the challenges that must be confronted to reach the deliverable goals. Section 3 of the present document is dedicated to the IoT Platform Interoperability State of the Art. This section is fruit of an extensive research and organisational collective work, as it is described in the section below. Here the main objectives to pursue, such as the achievement of interoperability within IoT platforms, are explained. The definitions, terminology and main concepts of IoT platforms are detailed in a clear descriptive way and along with a summary of the main features of each IoT platform that is involved in the project this section represent a pivotal part for the semantic interoperability specification in the full project. Interoperability use cases of the Activage IoT Ecosystem Suite (AIoTES) are described. The last point of this section includes the architecture of the Deployment Sites. Section 4 in this deliverable addresses the Semantic Interoperability concept, and the AIoTES common data model is introduced. Section 5 presents the ACTIVAGE Architecture, on where the IoT Semantic Interoperability Layer is included as a core part of it, and its functionality and internal elements are detailed. All main components of the architecture are described in this section, as architectural building blocks. Also, the interfacing among different blocks is explained. The main objective of this part of the deliverable is shared whose first aiming to efficiently and effectively integrate the platforms and devices of the IoT-AHA Ecosystem and second to provide the guidance for deployment sites on procedures for such integration. Finally, the document ends with the conclusions and the future work.Source: Project report, ACTIVAGE, Deliverable D3.7, 2019
Project(s): ACTIVAGE
Diaz Nava M., Ortiz Sanchez B., Martínez A., Sala P., Medrano Gil A. M., Ben Hmida H., Reza Saied Tazari M., Bergon S., Kaklanis N., Stavrotheodoros S., Votis K., Tzovaras D., Stavropoulos T., Kompatsiaris I., Usach R. G., Kassapoglou C., Dallemagne P., Carboni A., Russo D., Papadopoulou K., Stavropoulos L.
This document is the deliverable D3.2.2 or D3.7 "ACTIVAGE Interoperability layer architecture" and represent the main outcome of the activity T3.1 "Specification of the open cross-pilot ACTIVAGE architecture", that is part of Work Package WP3 "ACTIVATE Secure Interoperability Layer". The present document is also tightly related to other WP3 task: T3.4 "Implementation of the interoperability layer" that integrates T3.2 "ACTIVAGE solution for security and privacy" and T3.3 "Building bridges to the IoT protocols and platforms". The overall scope of this deliverable is to present the ACTIVATE Interoperability layer architecture. The content of this deliverable can be summarized as follows: Section 1 describes the nature and the reason why this deliverable 3.2.2 has particular relevance for the ACTIVAGE project. Moreover, this section also set the objectives to the defined structure and organisation of the document, and notes the differences between the 2 versions of the deliverable (D3.2 and D3.2.2). Section 2 is an introductory section that provides a brief description about main concepts from the Internet of Things that are involved in the ACTIVAGE project. This section also addresses the potential of Internet of Things in the context of the Active and Healthy Ageing area that concerns the ACTIVAGE project. In this section, the objectives and proposals of the deliverable are explained in detail besides the challenges that must be confronted to reach the deliverable goals. Section 3 of the present document is dedicated to the IoT Platform Interoperability State of the Art. This section is fruit of an extensive research and organisational collective work, as it is described in the section below. Here the main objectives to pursue, such as the achievement of interoperability within IoT platforms, are explained. The definitions, terminology and main concepts of IoT platforms are detailed in a clear descriptive way and along with a summary of the main features of each IoT platform that is involved in the project this section represent a pivotal part for the semantic interoperability specification in the full project. Interoperability use cases of the Activage IoT Ecosystem Suite (AIoTES) are described. The last point of this section includes the architecture of the Deployment Sites. Section 4 in this deliverable addresses the Semantic Interoperability concept, and the AIoTES common data model is introduced. Section 5 presents the ACTIVAGE Architecture, on where the IoT Semantic Interoperability Layer is included as a core part of it, and its functionality and internal elements are detailed. All main components of the architecture are described in this section, as architectural building blocks. Also, the interfacing among different blocks is explained. The main objective of this part of the deliverable is shared whose first aiming to efficiently and effectively integrate the platforms and devices of the IoT-AHA Ecosystem and second to provide the guidance for deployment sites on procedures for such integration. Finally, the document ends with the conclusions and the future work.Source: Project report, ACTIVAGE, Deliverable D3.7, 2019
Project(s): ACTIVAGE
See at: CNR ExploRA