Typology
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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
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
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
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
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
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
2018
Report
Unknown
A prototype of a wearable, wireless system for measuring leg strength
Magrini M., Righi M., Carboni A., Martinelli M., Pardini F.
This technical report describes the R&D activity regarding the realization of a prototype of a wearable wireless device which records the characteristics of body movements. The device is connected via Bluetooth to a smartphone, able to display the acceleration curves and send the recorded data to a server for storage, further processing and analysis.Source: ISTI Technical reports, 2018
Magrini M., Righi M., Carboni A., Martinelli M., Pardini F.
This technical report describes the R&D activity regarding the realization of a prototype of a wearable wireless device which records the characteristics of body movements. The device is connected via Bluetooth to a smartphone, able to display the acceleration curves and send the recorded data to a server for storage, further processing and analysis.Source: ISTI Technical reports, 2018
See at: 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
Report
Unknown
Intelligent approaches to fitness and well-being guidance
Martinelli M., Carboni A., Magrini M., Benassi A., Salvetti O.
The purpose of this research is to offer a complete picture on the use of assistive technologies in general, artificial intelligence and machine learning methods, for the determination of behaviors and decisions aimed at optimizing the analysis of the physical performance of the athlete. The solutions discussed can be merged to implement a system able to propose, automatically and dynamically, training plans linked to the physical and psychological conditions of the athletes. However, the treatment is also addressed to a possible application to different person categories, such as people performing normal physical activities, the elderly, disabled and ore in general people suffering from psycho-motor and muscular pathologies with the aim of improving skeletal muscle physio aspects.Source: Project report, 2018
Martinelli M., Carboni A., Magrini M., Benassi A., Salvetti O.
The purpose of this research is to offer a complete picture on the use of assistive technologies in general, artificial intelligence and machine learning methods, for the determination of behaviors and decisions aimed at optimizing the analysis of the physical performance of the athlete. The solutions discussed can be merged to implement a system able to propose, automatically and dynamically, training plans linked to the physical and psychological conditions of the athletes. However, the treatment is also addressed to a possible application to different person categories, such as people performing normal physical activities, the elderly, disabled and ore in general people suffering from psycho-motor and muscular pathologies with the aim of improving skeletal muscle physio aspects.Source: Project report, 2018
See at: 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
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
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
2016
Report
Open Access
SEMI - Sistema Espressivo Multicanale Interattivo
Magrini M., Carboni A., Villa A., Righi M., Salvetti O.
This report describes the project SEMI, Sistema Espressivo Multicanale Interattivo, developed by the Laboratory of Signals and Images ISTI CNR of Pisa in collaboration with MAiC of Pistoia Foundation. This project consists in the realization of an innovative system made up of special gestural interaction tools based on non-invasive technologies, contactless and low cost, which can provide an audio-visual feedback to the movement of the body. In this way it intends to promote, in a playful form, the consciousness of one's ability to nteract with the surrounding environment (proprioceptive system). After a classification of the project in the field of activity of the treatment of autism spectrum disorders, we will give a description of his hardware/software components, followed by the description of the experimental phase and analysis of the data collected at the premises of MAiC Foundation.Source: Project report, SEMI, 2016
Magrini M., Carboni A., Villa A., Righi M., Salvetti O.
This report describes the project SEMI, Sistema Espressivo Multicanale Interattivo, developed by the Laboratory of Signals and Images ISTI CNR of Pisa in collaboration with MAiC of Pistoia Foundation. This project consists in the realization of an innovative system made up of special gestural interaction tools based on non-invasive technologies, contactless and low cost, which can provide an audio-visual feedback to the movement of the body. In this way it intends to promote, in a playful form, the consciousness of one's ability to nteract with the surrounding environment (proprioceptive system). After a classification of the project in the field of activity of the treatment of autism spectrum disorders, we will give a description of his hardware/software components, followed by the description of the experimental phase and analysis of the data collected at the premises of MAiC Foundation.Source: Project report, SEMI, 2016
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
2015
Report
Unknown
WB@Lucca - Relazione dell'attività svolta nel periodo 03/luglio/2014 - 02/luglio/2015.
Delmastro F., Santoro G., Barsocchi P., Ferro E., Mavilia F., Salvetti O., Magrini M., Carboni A., Tsaftaris S., Venianaki M.
Questo progetto, cofinanziato dalla Fondazione Cassa di Risparmio di Lucca ed in carico ai seguenti gruppi di lavoro: il gruppo di ricerca Ubiquitous Internet dell'Istituto IIT del CNR (coordinatore), i laboratori "Wireless Networks" (WN Lab) e "Segnali e Immagini" (SI Lab) di dell'Istituto ISTI del CNR, ed il gruppo "Pattern Recognition and Image Analysis Unit (PRIAn)" dell'Istituto IMT di Lucca, ha per obiettivo la realizzazione di una piattaforma mobile di servizi personali e personalizzati basati sull'uso di tecnologie ICT innovative e non invasive al fine di migliorare la qualitaÌEUR della vita e la condizione di benessere (well-âEURbeing) degli abitanti di Lucca e stimolarne la solidarietaÌEUR sociale. WB@Lucca si rivolge ad una specifica categoria di utenti: persone anziane che tendono ad assumere comportamenti sedentari, spesso con problemi di riabilitazione motoria, non si curano di seguire un'alimentazione corretta e tendono ad isolarsi dal punto di vista sociale. WB@Lucca propone una serie di servizi ed applicazioni per dispositivi mobili mirati a migliorare le condizioni di vita di tali soggetti, aumentandone l'autonomia e fornendo un supporto anche per i loro familiari.Source: Project report, WB@Lucca, 2015
Delmastro F., Santoro G., Barsocchi P., Ferro E., Mavilia F., Salvetti O., Magrini M., Carboni A., Tsaftaris S., Venianaki M.
Questo progetto, cofinanziato dalla Fondazione Cassa di Risparmio di Lucca ed in carico ai seguenti gruppi di lavoro: il gruppo di ricerca Ubiquitous Internet dell'Istituto IIT del CNR (coordinatore), i laboratori "Wireless Networks" (WN Lab) e "Segnali e Immagini" (SI Lab) di dell'Istituto ISTI del CNR, ed il gruppo "Pattern Recognition and Image Analysis Unit (PRIAn)" dell'Istituto IMT di Lucca, ha per obiettivo la realizzazione di una piattaforma mobile di servizi personali e personalizzati basati sull'uso di tecnologie ICT innovative e non invasive al fine di migliorare la qualitaÌEUR della vita e la condizione di benessere (well-âEURbeing) degli abitanti di Lucca e stimolarne la solidarietaÌEUR sociale. WB@Lucca si rivolge ad una specifica categoria di utenti: persone anziane che tendono ad assumere comportamenti sedentari, spesso con problemi di riabilitazione motoria, non si curano di seguire un'alimentazione corretta e tendono ad isolarsi dal punto di vista sociale. WB@Lucca propone una serie di servizi ed applicazioni per dispositivi mobili mirati a migliorare le condizioni di vita di tali soggetti, aumentandone l'autonomia e fornendo un supporto anche per i loro familiari.Source: Project report, WB@Lucca, 2015
See at: CNR ExploRA
2016
Contribution to conference
Restricted
Il progetto SiDOREMI
Magrini M., Carboni A., Salvetti O., Curzio O., Barsocchi P., Solari S.
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 com-puter running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algo-rithms 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 aug-mented 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 ana-lyzed the results of this experimentation. Moreover, we started to work on graphical feedback in order to realize a multichannel system.Source: Tecnologie a sostegno delle persone con disturbi dello spettro autistico, Roma, Italy, 25 febbraio 2016
Magrini M., Carboni A., Salvetti O., Curzio O., Barsocchi P., Solari S.
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 com-puter running own (custom) developed software. During the test sessions a person freely moves his body inside a specifically designed room. The algo-rithms 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 aug-mented 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 ana-lyzed the results of this experimentation. Moreover, we started to work on graphical feedback in order to realize a multichannel system.Source: Tecnologie a sostegno delle persone con disturbi dello spettro autistico, Roma, Italy, 25 febbraio 2016
See at:
tecnologieperlautismo.org | 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
Unknown
WB@Lucca - Relazione dell'attività svolta nel periodo 03 luglio 2015 - 31 ottobre 2016
Delmastro F., Santoro G., Distefano E., Crivello A., Barsocchi P., Ferro E., La Rosa D., Mavilia F., Salvetti O., Magrini M., Carboni A., Tsaftaris S., Venianaki M.
Nel secondo ed ultimo anno del progetto Well-being@Lucca (WB@Lucca), i gruppi di ricerca coinvolti nel parternariato hanno terminato lo sviluppo delle applicazioni definite durante il primo anno, hanno realizzato un sistema di raccolta ed analisi dei dati, ed hanno affrontato una fase di sperimentazione con alcuni soggetti volontari. In particolare, sono state completate le seguenti attività: . WP2: Monitoraggio dell'attività fisica (Resp. ISTI-CNR) - M4-M14 . WP3: Progettazione e sviluppo di servizi di monitoraggio delle interazioni sociali e mobile social networks (Resp. IIT-CNR) - M4-M14 . WP4: Integrazione dei servizi, raccolta dei dati e analisi comportamentale (Resp. IMT-Lucca) - M14-M28 . WP5: La sperimentazione sui volontari (ISTI-CNR) - M18-M28.Source: Project report, WB@Lucca, 2016
Delmastro F., Santoro G., Distefano E., Crivello A., Barsocchi P., Ferro E., La Rosa D., Mavilia F., Salvetti O., Magrini M., Carboni A., Tsaftaris S., Venianaki M.
Nel secondo ed ultimo anno del progetto Well-being@Lucca (WB@Lucca), i gruppi di ricerca coinvolti nel parternariato hanno terminato lo sviluppo delle applicazioni definite durante il primo anno, hanno realizzato un sistema di raccolta ed analisi dei dati, ed hanno affrontato una fase di sperimentazione con alcuni soggetti volontari. In particolare, sono state completate le seguenti attività: . WP2: Monitoraggio dell'attività fisica (Resp. ISTI-CNR) - M4-M14 . WP3: Progettazione e sviluppo di servizi di monitoraggio delle interazioni sociali e mobile social networks (Resp. IIT-CNR) - M4-M14 . WP4: Integrazione dei servizi, raccolta dei dati e analisi comportamentale (Resp. IMT-Lucca) - M14-M28 . WP5: La sperimentazione sui volontari (ISTI-CNR) - M18-M28.Source: Project report, WB@Lucca, 2016
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