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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
Contribution to conference
Open Access
A Tele-Visit System for ACTIVAGE Project
Carboni A.
The document concerns the development of a remote communication system that allows a remote visit between older patients and healthcare professionals in situations that do not allow hospital transport.Source: ADTC and edaWorkshop19, Dresda, Germany, 14-16 May, 2019
DOI: 10.5281/zenodo.4030322
DOI: 10.5281/zenodo.4030321
Project(s): ACTIVAGE
Metrics:
Carboni A.
The document concerns the development of a remote communication system that allows a remote visit between older patients and healthcare professionals in situations that do not allow hospital transport.Source: ADTC and edaWorkshop19, Dresda, Germany, 14-16 May, 2019
DOI: 10.5281/zenodo.4030322
DOI: 10.5281/zenodo.4030321
Project(s): ACTIVAGE
Metrics:
See at:
ISTI Repository | www.edacentrum.de | ZENODO | 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
2017
Report
Unknown
ACTIVAGE - Interoperability layer architecture
Iaz Nava M., Ortiz Sanchez B., Cuevas I., Sala P., Medrano Gil A. M., Tazari S., Bergeon S., Kaklanis N., Hamlatzis I., Votis K., Tzovaras D., Valero C., Palau C. E., Roca F., Kazmi A., Serrano M., Kassapoglou C., Dallemagne P., Carboni A., Girolami M., Papadopoulou K.
This document is the deliverable D3.2 "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 "ACTIVAGE Secure Interoperability Layer". The overall scope of this deliverable is to present the ACTIVAGE Interoperability layer architecture. The content of this deliverable can be summarized as follow: The section one describes the nature and the reason why this deliverable 3.2 is the particular relevance for the ACTIVAGE project and at the same time set the objectives to the defined structure and organisation of the document. The section two is dedicated to the introductory section provides a brief description about the concepts from the Internet of Things and that can be used in the ACTIVAGE project. This section also addresses the identified 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 beside the challenges that must be confronted to reach the deliverable goal. The section three of the present document is dedicated to the IoT Platform Interoperability State of the Art that have been an extensive research and organisational collective work, as it is described in the section below. Here the main objectives to pursue so as to achieve 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. The last point of this section includes the architecture of the Deployment Sites. The section four in this deliverable is devoted to the introduction of the ACTIVAGE concept for Semantic Interoperability, where the notion of the Semantic Interoperability Layer (SIL) and the related Shared Space in AIOTES is presented, and a definition of the SIL API along with its use cases is included. Finally, the benefits of the SIL Shared Space are listed. The section five presents the ACTIVAGE Architecture where the IoT Interoperability Layer is included with, in this section the main objective 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. The complete architecture building blocks and their interfaces, required to the achievement of the architecture, are included in this section too. Finally, the document ends with the conclusions and the future work.Source: Project report, ACTIVAGE, Deliverable D3.2, 2017
Project(s): ACTIVAGE
Iaz Nava M., Ortiz Sanchez B., Cuevas I., Sala P., Medrano Gil A. M., Tazari S., Bergeon S., Kaklanis N., Hamlatzis I., Votis K., Tzovaras D., Valero C., Palau C. E., Roca F., Kazmi A., Serrano M., Kassapoglou C., Dallemagne P., Carboni A., Girolami M., Papadopoulou K.
This document is the deliverable D3.2 "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 "ACTIVAGE Secure Interoperability Layer". The overall scope of this deliverable is to present the ACTIVAGE Interoperability layer architecture. The content of this deliverable can be summarized as follow: The section one describes the nature and the reason why this deliverable 3.2 is the particular relevance for the ACTIVAGE project and at the same time set the objectives to the defined structure and organisation of the document. The section two is dedicated to the introductory section provides a brief description about the concepts from the Internet of Things and that can be used in the ACTIVAGE project. This section also addresses the identified 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 beside the challenges that must be confronted to reach the deliverable goal. The section three of the present document is dedicated to the IoT Platform Interoperability State of the Art that have been an extensive research and organisational collective work, as it is described in the section below. Here the main objectives to pursue so as to achieve 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. The last point of this section includes the architecture of the Deployment Sites. The section four in this deliverable is devoted to the introduction of the ACTIVAGE concept for Semantic Interoperability, where the notion of the Semantic Interoperability Layer (SIL) and the related Shared Space in AIOTES is presented, and a definition of the SIL API along with its use cases is included. Finally, the benefits of the SIL Shared Space are listed. The section five presents the ACTIVAGE Architecture where the IoT Interoperability Layer is included with, in this section the main objective 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. The complete architecture building blocks and their interfaces, required to the achievement of the architecture, are included in this section too. Finally, the document ends with the conclusions and the future work.Source: Project report, ACTIVAGE, Deliverable D3.2, 2017
Project(s): ACTIVAGE
See at: CNR ExploRA
2018
Report
Open Access
ACTIVAGE - Interoperability report
Posada J., Diaznava M., Martínez A., Medrano A., Hmida H. B., Stéphane Bergeon S., Gallisot M., Votis K., Kaklanis N., Stavrotheodoros S., Tzovaras D., Dallemagne P., Usach R. G., Julian M., Palau C. E., Valero C., Molina G., Roca F., Tran T., Kazmi A., Serrano M., Russo D., Carboni A., Papadopoulou K., Stavropoulos L.
This deliverable is the continuation of the work presented in deliverable 3.2 "Interoperability layer architecture" and extends further information in this regard presented in deliverable 5.1 "Integration Plan and Operational Framework". This document is closely related with the outcome of tasks T3.3 and T3.4. D3.5 provides further information regarding the definition and implementation of components, tools and techniques employed within ACTIVAGE project to facilitate interoperability with the DS IoT platforms. In particular, main initiatives for the enablement of interoperability are the Semantic Interoperability Layer, that provides both syntactic and semantic interoperability, and the creation of a common data model. Also, some security and privacy considerations are drawn.Source: Project report, ACTIVAGE, Deliverable D3.5, 2018
Project(s): ACTIVAGE
Posada J., Diaznava M., Martínez A., Medrano A., Hmida H. B., Stéphane Bergeon S., Gallisot M., Votis K., Kaklanis N., Stavrotheodoros S., Tzovaras D., Dallemagne P., Usach R. G., Julian M., Palau C. E., Valero C., Molina G., Roca F., Tran T., Kazmi A., Serrano M., Russo D., Carboni A., Papadopoulou K., Stavropoulos L.
This deliverable is the continuation of the work presented in deliverable 3.2 "Interoperability layer architecture" and extends further information in this regard presented in deliverable 5.1 "Integration Plan and Operational Framework". This document is closely related with the outcome of tasks T3.3 and T3.4. D3.5 provides further information regarding the definition and implementation of components, tools and techniques employed within ACTIVAGE project to facilitate interoperability with the DS IoT platforms. In particular, main initiatives for the enablement of interoperability are the Semantic Interoperability Layer, that provides both syntactic and semantic interoperability, and the creation of a common data model. Also, some security and privacy considerations are drawn.Source: Project report, ACTIVAGE, Deliverable D3.5, 2018
Project(s): ACTIVAGE
See at:
ISTI Repository | CNR ExploRA
2017
Report
Open Access
ACTIVAGE - Detailed experiment plan IV DS4 RER contribution
Sala P., Russo D., Martella G., Ciampolini P., Nunziata S., Carboni A., Spada M. R., Enrico Montanari E., Campanini N.
Definition of the individual experiment plan for the DS4 in the Emilia Romagna region (Italy).Source: Project report, ACTIVAGE, Deliverable D9.1, 2017
Project(s): ACTIVAGE
Sala P., Russo D., Martella G., Ciampolini P., Nunziata S., Carboni A., Spada M. R., Enrico Montanari E., Campanini N.
Definition of the individual experiment plan for the DS4 in the Emilia Romagna region (Italy).Source: Project report, ACTIVAGE, Deliverable D9.1, 2017
Project(s): ACTIVAGE
See at:
ISTI Repository | 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
2016
Conference article
Open Access
An interactive multimedia system for treating autism spectrum disorder
Carboni A., Magrini M., Salvetti O., Curzio O.
A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a gestural interface and a computer running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algorithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The augmented interaction with the environment helps to improve the contact with reality in subjects having autism spectrum disorders (ASD). The system has been tested on a set of young subjects and a team of psychologists has analyzed the results of this experimentation. Moreover, we started to work on graphical feedback in order to realize a multichannel system.Source: European Conference on Computer Vision, pp. 331–342, Amsterdam, The Netherlands, 8-10 October 2016
DOI: 10.1007/978-3-319-48881-3_23
Metrics:
Carboni A., Magrini M., Salvetti O., Curzio O.
A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a gestural interface and a computer running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algorithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The augmented interaction with the environment helps to improve the contact with reality in subjects having autism spectrum disorders (ASD). The system has been tested on a set of young subjects and a team of psychologists has analyzed the results of this experimentation. Moreover, we started to work on graphical feedback in order to realize a multichannel system.Source: European Conference on Computer Vision, pp. 331–342, Amsterdam, The Netherlands, 8-10 October 2016
DOI: 10.1007/978-3-319-48881-3_23
Metrics:
See at:
ISTI Repository | doi.org 
| link.springer.com | CNR ExploRA
2016
Report
Open Access
Automatic human body morphological measurement from 3D scan acquired with low cost devices
Villa A., Carboni A., Pascali M. A., Magrini M.
In this work we present an algorithm for extracting morphological measurement from 3-D human scans acquired using Kinect v2 devices. The algorithm objective is to provide computation of classical body measures, including height, waist circumference and hip circumference and measures related to the shape, such as area and volume. It is independent from the pose and robust to noise. Exploiting the obtained measures we calculate several indices, such as waist-to-hip ratio and Barix.Source: ISTI Technical reports, 2016
Villa A., Carboni A., Pascali M. A., Magrini M.
In this work we present an algorithm for extracting morphological measurement from 3-D human scans acquired using Kinect v2 devices. The algorithm objective is to provide computation of classical body measures, including height, waist circumference and hip circumference and measures related to the shape, such as area and volume. It is independent from the pose and robust to noise. Exploiting the obtained measures we calculate several indices, such as waist-to-hip ratio and Barix.Source: ISTI Technical reports, 2016
See at:
ISTI Repository | CNR ExploRA
2018
Journal article
Open Access
IoT for active and healthy ageing: the ACTIVAGE DS-RER project
Nunziata S., Matrella G., Mora N., Girolami M., Russo D., Barsocchi P., Carboni A., Woerner S., Jansen B., Montanari E., Cocchi F., Campanini N., Spada M. R., Ciampolini P.
The ActivAge project is currently exploring heterogeneous IoT solutions for AHA over 9 different European Deployment Sites (DS), in an interoperable network. In this work, we present main features of the DS-RER experimentation, being implemented in the Emilia-Romagna Region (RER, Italy) and mostly aimed at effectively embedding IoT-enabled solutions within the actual organization and practices of regional social and health-care services, to support users over 65 suffering post-stroke conditions.Source: Gerontechnology (Valkenswaard. Gedrukt) 17 (2018): 115–116. doi:10.4017/gt.2018.17.s.112.00
DOI: 10.4017/gt.2018.17.s.112.00
Project(s): ACTIVAGE
Metrics:
Nunziata S., Matrella G., Mora N., Girolami M., Russo D., Barsocchi P., Carboni A., Woerner S., Jansen B., Montanari E., Cocchi F., Campanini N., Spada M. R., Ciampolini P.
The ActivAge project is currently exploring heterogeneous IoT solutions for AHA over 9 different European Deployment Sites (DS), in an interoperable network. In this work, we present main features of the DS-RER experimentation, being implemented in the Emilia-Romagna Region (RER, Italy) and mostly aimed at effectively embedding IoT-enabled solutions within the actual organization and practices of regional social and health-care services, to support users over 65 suffering post-stroke conditions.Source: Gerontechnology (Valkenswaard. Gedrukt) 17 (2018): 115–116. doi:10.4017/gt.2018.17.s.112.00
DOI: 10.4017/gt.2018.17.s.112.00
Project(s): ACTIVAGE
Metrics:
See at:
Gerontechnology | journal.gerontechnology.org | ISTI Repository | Gerontechnology | CNR ExploRA
2018
Report
Open Access
ACTIVAGE - Report on IoT devices
Diaznava M., Sanchez B. O., Sala P., Montalva J. B., Medrano A., Loubier T., Gallissot M., Bergeon S., Kaklanis N., Votis K., Tzovaras D., Mitsakis 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 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, homogenised, 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 are 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 D3.6, 2018
Project(s): ACTIVAGE
Diaznava M., Sanchez B. O., Sala P., Montalva J. B., Medrano A., Loubier T., Gallissot M., Bergeon S., Kaklanis N., Votis K., Tzovaras D., Mitsakis 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 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, homogenised, 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 are 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 D3.6, 2018
Project(s): ACTIVAGE
See at:
ISTI Repository | CNR ExploRA
2018
Report
Open Access
ACTIVAGE - Developers toolkit and deployment support
Sanchez B. O., Sala P., Medrano A., Tazari S., Hmida H. B., Bergeon S., Gallissot M., Kaklanis N., Votis K., Nikolopoulos S., Kompatsiaris I., Valero C., Le Van H., Barralon P, Arcas J., Ail R., Carboni A., Girolami M., Russo D., Mäkelä R.
This document is the deliverable D4.1 "Developers toolkit and deployment support" and presents the outcome of the activities T4.1 "ACTIVAGE Development tools" and T4.3 "ACTIVAGE Deployment tools" which are part of Work Package WP4 "ACTIVAGE Application support tools and services layer". The document makes a status of existing development and deployment tools prior to the ACTIVAGE project and describes the ones that are under progress to fulfill ACTIVAGE dedicated requirements. The requirements are presented in Section 2, and the Use Cases in Section 3, precising the uses by the kind of developer profiles listed in section 3.1. The presented tools in Section 4 allow the development of applications (developed for ACTIVAGE by third parties) on top of each given platform among the seven selected as ACTIVAGE IoT platforms (Fiware, openiot, IoTivity, seniorsome, sensiNact, Sofia2 and universAAL). They are used by application developers and platform contributors. For more details about the seven ACTIVAGE IoT platforms, please refer to the D3.1 Report on IoT European Platforms. The presented tools in Section 5 are the ones used in the nine ACTIVAGE deployment sites to support their hardware device installations and middleware installation on the resulting IT infrastructure. They are used by installation/deployment and IT teams. These existing development and deployment tools are available today and constitute the first step of ACTIVAGE toolkit: they are heterogeneous tools available for dedicated platforms and for specific deployment sites. Further works in tasks T4.1 and T4.3 will aim to complete the IoT platform dedicated tools with ACTIVAGE common development and deployment tools based on the common ACTIVAGE APIs under specification.Source: Project report, ACTIVAGE, Deliverable D4.1, 2018
Project(s): ACTIVAGE
Sanchez B. O., Sala P., Medrano A., Tazari S., Hmida H. B., Bergeon S., Gallissot M., Kaklanis N., Votis K., Nikolopoulos S., Kompatsiaris I., Valero C., Le Van H., Barralon P, Arcas J., Ail R., Carboni A., Girolami M., Russo D., Mäkelä R.
This document is the deliverable D4.1 "Developers toolkit and deployment support" and presents the outcome of the activities T4.1 "ACTIVAGE Development tools" and T4.3 "ACTIVAGE Deployment tools" which are part of Work Package WP4 "ACTIVAGE Application support tools and services layer". The document makes a status of existing development and deployment tools prior to the ACTIVAGE project and describes the ones that are under progress to fulfill ACTIVAGE dedicated requirements. The requirements are presented in Section 2, and the Use Cases in Section 3, precising the uses by the kind of developer profiles listed in section 3.1. The presented tools in Section 4 allow the development of applications (developed for ACTIVAGE by third parties) on top of each given platform among the seven selected as ACTIVAGE IoT platforms (Fiware, openiot, IoTivity, seniorsome, sensiNact, Sofia2 and universAAL). They are used by application developers and platform contributors. For more details about the seven ACTIVAGE IoT platforms, please refer to the D3.1 Report on IoT European Platforms. The presented tools in Section 5 are the ones used in the nine ACTIVAGE deployment sites to support their hardware device installations and middleware installation on the resulting IT infrastructure. They are used by installation/deployment and IT teams. These existing development and deployment tools are available today and constitute the first step of ACTIVAGE toolkit: they are heterogeneous tools available for dedicated platforms and for specific deployment sites. Further works in tasks T4.1 and T4.3 will aim to complete the IoT platform dedicated tools with ACTIVAGE common development and deployment tools based on the common ACTIVAGE APIs under specification.Source: Project report, ACTIVAGE, Deliverable D4.1, 2018
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
2017
Contribution to book
Open Access
An auditory feedback based system for treating autism spectrum disorder
Magrini M., Carboni A., Salvetti O., Curzio O.
A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a gestural interface and a computer running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algorithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The augmented interaction with the environment helps to improve the contact with reality in subjects having autism spectrum disorders (ASD). The system has been tested on a set of young subjects and a team of psychologists has analyzed the results of this experimentation. Moreover, we developed a home version of the system, to be used without any operators, in order to maintain the obtained benefits. This paper is an extended version of the paper presented at REHAB 2015 [1].Source: ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2015. Communications in Computer and Information Science, edited by Fardoun H., R. Penichet V., Alghazzawi D., De la Guia M., pp. 46–58, 2017
DOI: 10.1007/978-3-319-69694-2_5
DOI: 10.1145/2838944.2838952
Metrics:
Magrini M., Carboni A., Salvetti O., Curzio O.
A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a gestural interface and a computer running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algorithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The augmented interaction with the environment helps to improve the contact with reality in subjects having autism spectrum disorders (ASD). The system has been tested on a set of young subjects and a team of psychologists has analyzed the results of this experimentation. Moreover, we developed a home version of the system, to be used without any operators, in order to maintain the obtained benefits. This paper is an extended version of the paper presented at REHAB 2015 [1].Source: ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2015. Communications in Computer and Information Science, edited by Fardoun H., R. Penichet V., Alghazzawi D., De la Guia M., pp. 46–58, 2017
DOI: 10.1007/978-3-319-69694-2_5
DOI: 10.1145/2838944.2838952
Metrics:
See at:
ISTI Repository | doi.org | doi.org | link.springer.com | CNR ExploRA
2015
Conference article
Open Access
An auditory feedback based system for treating autism spectrum disorder
Magrini M., Carboni A., Salvetti O., Curzio O.
A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a video camera, a FireWire digitalization board, and a computer running own (custom) developed software. During the test sessions, a person freely moves his body inside a specifically designed room. The algorithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The augmented interaction with the environment helps to improve the contact with reality in subjects having some disability. The system has been tested on a set of young subjects affected by autism spectrum disorders (ASD) and a team of psychologists has analyzed the results of this experimentation.Source: 3rd Workshop on ICTs for improving Patients Rehabilitation Research Techniques, REHAB 2015, pp. 30–33, Lisbona, Portogallo, 1-2 October 2015
DOI: 10.1145/2838944.2838952
DOI: 10.1007/978-3-319-69694-2_5
Metrics:
Magrini M., Carboni A., Salvetti O., Curzio O.
A system for real-time gesture tracking is presented, used in active well-being self-assessment activities and in particular applied to medical coaching and music-therapy. The system is composed of a video camera, a FireWire digitalization board, and a computer running own (custom) developed software. During the test sessions, a person freely moves his body inside a specifically designed room. The algorithms detect and extrapolate features from the human figure, such us spatial position, arms and legs angles, etc. An operator can link these features to sounds synthesized in real time, following a predefined schema. The augmented interaction with the environment helps to improve the contact with reality in subjects having some disability. The system has been tested on a set of young subjects affected by autism spectrum disorders (ASD) and a team of psychologists has analyzed the results of this experimentation.Source: 3rd Workshop on ICTs for improving Patients Rehabilitation Research Techniques, REHAB 2015, pp. 30–33, Lisbona, Portogallo, 1-2 October 2015
DOI: 10.1145/2838944.2838952
DOI: 10.1007/978-3-319-69694-2_5
Metrics:
See at:
ISTI Repository | dl.acm.org | doi.org | doi.org | 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
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
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