Risultati finali
Data acquisition will consist on motion capture video recordings electroencephalography NIRS Near Infrared Spectroscopy fMRI electromyography and autonomic activity Extraction of behavioral and physiological indexes of action prediction will be basedupon computational pipelines inspired to Becchio et al 2017 and to Granger causality indexes of sensorimotor information exchange see the computational pipeline described in DAusilio et al 2012 Badino et al 2014
Final evaluation report - Phase 2Summative evaluation will be carried out in the final part of the project and will produce the final evaluation report It may also consist of participation in contests and hackathons where teams are supported by the developed technology
Ethics requirements and proceduresA document containing the procedures adopted in EnTimeMent for ethically responsible research, and for recruiting participants, for informed consent, and for data protection, to be used in the first round of experiments.
Proof-of-Concept Testing and Validation in chronic pain management in everyday life - Phase 1Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Updated data management planA revised and final version of the plan for making data findable accessible interoperable and reusable
Proof-of-Concept Testing and Validation in healing and everyday life support of disabled - Phase 2Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Dissemination & Communication planPlanning of Dissemination & Communication activities during the first year of the project, as well as execution and reporting of the planned Dissemination and Communication Activities, including presentation of scientific papers in top-level international conferences and journals, public events and workshops including the EU FET Conference.
Final evaluation report - Phase 1Summative evaluation will be carried out in the final part of the project and will produce the final evaluation report It may also consist of participation in contests and hackathons where teams are supported by the developed technology
Updated ethics requirements and proceduresA revision of D71 taking into account the results of quality control to improve operational ethics procedures to be used in the second round of basic research technological developments experiments and scenarios if necessary
Project management handbook and quality assurance manualA report summarising the activities carried out in the first reporting period.
Research requirements for laboratory and ecological experimental scenarios - Phase 2Refinement of research requirements after the first experiments, according to the obtained feedback and results.
Research requirements for laboratory and ecological experimental scenarios - Phase 1Research requirements for the project, definition of hypotheses for experiments, detailed description of experimental scenarios (technical needs, algorithms required for feature extraction and data analysis), procedures for assessment and evaluation.
Models and algorithms - Phase 1Elaboration of multitemporal predictive models in the context of dyadic and group interaction
Final ethics requirements and proceduresA revision of D71 and D72 containing the ethics procedures to be used in the final summative evaluation
Predictions of multi-scale, temporally aggregated, social-motor synchronization models - Phase 3Experiments exploring the multiscale nature of human action
Data acquisition analytic tools for IMS & GMSData acquisition will consist on motion capture video recordings electromyographyelectroencephalography NIRS Extraction of behavioral and physiological indexes at multiple time scales revealing a Individual Motor Signature IMS of how we move in synchrony will be based upon the use of Multidimensional scaling Analysis and Similarity Space techniques during solo duo and group sensorimotor exchanges see the computational pipeline described in Slowinski et al 2016 2017 GMS indexGroup Motor Signature will be developed based on multiscale IMS index in order to analyse data collected in WP2 and evaluate movement qualities cascading from milliseconds to minutes
Stakeholders Management and Project ClusteringCreation of a Stakeholders Panel comprising Universities Research and Technological Development Institutes innovative SMEs large Industrial Companies and other Policy Making organizations which will be associated to the project and follow its developments and dissemination activities
Data acquisition analytic tools for individual actionsData acquisition will consist on motion capture, video recordings, electroencephalography, NIRS (Near Infrared Spectroscopy), fMRI, electromyography and autonomic activity. Extraction of behavioral and physiological indexes of action prediction will be based upon computational pipelines inspired to (Becchio et al., 2017) and to Granger causality indexes of sensorimotor information exchange (see the computational pipeline described in D’Ausilio et al., 2012; Badino et al., 2014).
Data management planFirst draft of the plan for making data findable, accessible, interoperable and reusable.
Proof-of-Concept Testing and Validation in dance, living architectures, sports and entertainment - Phase 2Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Predictions of multi-scale, temporally aggregated, social-motor synchronization models - Phase 1Experiments exploring the multi-scale nature of human action.
Models and algorithms - Phase 2Elaboration of multitemporal predictive models in the context of dyadic and group interaction
Proof-of-Concept Testing and Validation in dance, living architectures, sports and entertainment - Phase 1Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Models and algorithms - Phase 3Elaboration of multitemporal predictive models in the context of dyadic and group interaction
Proof-of-Concept Testing and Validation in healing and everyday life support of disabled - Phase 1Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
Data acquisition analytic tools for joint actionsData acquisition will consist on motion capture video recordings electroencephalography NIRS Near Infrared Spectroscopy fMRI electromyography and autonomic activity Extraction of behavioral and physiological indexes of action prediction will be basedupon computational pipelines inspired to Becchio et al 2017 and to Granger causality indexes of sensorimotor information exchange see the computational pipeline described in DAusilio et al 2012 Badino et al 2014
Report on Dissemination Activities, Conferences and other EventsReporting of the planned Dissemination and Communication Activities includingpresentation of scientific papers in toplevel international conferences and journals public events and workshops including the EU FET Conference
Predictions of multi-scale, temporally aggregated, social-motor synchronization models - Phase 2Experiments exploring the multiscale nature of human action
Proof-of-Concept Testing and Validation in chronic pain management in everyday life - Phase 2Summative evaluation of the EnTimeMent proofofconcepts carried out in a series of short lab and in situ studies comprising interviews with and observations of users of thetechnology and an evaluation of the effectiveness and efficiency of the users and their satisfaction while performing the envisaged activities
The platform will integrate the sensor systems adopted in the project including motion capture multichannel video and audio recordings electroencephalography NIRS electromyography and autonomic activity to support the software libraries for analysis and measures of entrainment and prediction at multiple temporal scales
Results on prediction in action execution and observation - Phase 2Testing whether neurobehavioral MoCap EMG EEG TMS fNIRS and autonomic indexes GSR HRV describing the pragmatic details and emotional valence of the distal action goal are anticipatorily modulated both in action execution and observation
Results on prediction in complex action execution and observation - Phase 1Exploring the existence of multiple channels of sensorimotor communication acting at different timescales during group synchronization situations Investigating if these timescales allow different behavioural prediction at the individual and group level and which one of them correlates with the autonomic indexes reflecting the affective dimension of group coordination Evaluating whether the IMS Individual Motor Signature Slowinski et al 2016 and GMS Group Motor Signature and their dynamics at multiple timescales express the movement social and affective qualities of the complex action of interest
Results on prediction in dyadic action execution and observation - Phase 2Extrapolating the kinematics features MoCap EMG autonomic responses GSR HRV and neural antecedents EEGfNIRS used to predict the expressive content of others actions
EnTimeMent platform and software libraries for multi-time analysis, entrainment, and prediction - Phase 1The platform will integrate the sensor systems adopted in the project (including motion capture, multichannel video and audio recordings, electroencephalography, NIRS, electromyography and autonomic activity) to support the software libraries for analysis and measures of entrainment and prediction at multiple temporal scales.
Results on prediction in dyadic action execution and observation - Phase 1Extrapolating the kinematics features MoCap EMG autonomic responses GSR HRV and neural antecedents EEGfNIRS used to predict the expressive content of others actions
Results on prediction in action execution and observation - Phase 1Testing whether neurobehavioral MoCap EMG EEG TMS fNIRS and autonomic indexes GSR HRV describing the pragmatic details and emotional valence of the distal action goal are anticipatorily modulated both in action execution and observation
Annotated open-source datasetA data collection protocol will be defined to maximize the use of the collected data across WPs where possible The dataset will be annotated as needed to reflect the different temporalscale movements and related physiological and neural signals that needs to be captured and represented Part of the dataset will be opened to the community where ethics allows
Results on prediction in Complex Action execution and observation - Phase 2Exploring the existence of multiple channels of sensorimotor communication acting at different timescales during group synchronization situations Investigating if these timescales allow different behavioural prediction at the individual and group level and which one of them correlates with the autonomic indexes reflecting the affective dimension of group coordination Evaluating whether the IMS Individual Motor Signature Slowinski et al 2016 and GMS Group Motor Signature and their dynamics at multiple timescales express the movement social and affective qualities of the complex action of interest
EnTimeMent platform and software libraries for multi-time analysis, entrainment, and prediction - Phase 2The platform will integrate the sensor systems adopted in the project including motion capture multichannel video and audio recordings electroencephalography NIRS electromyography and autonomic activity to support the software libraries for analysis and measures of entrainment and prediction at multiple temporal scales
Qualisys will involve their users community and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops contributing to the consolidation of a multidisciplinary EnTimeMent users community
Hackathons and Users Community Workshops - Phase 1Qualisys will involve their users’ community, and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops, contributing to the consolidation of a multidisciplinary EnTimeMent users’ community.
Hackathons and Users Community Workshops - Phase 4Qualisys will involve their users’ community, and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops, contributing to the consolidation of a multidisciplinary EnTimeMent users’ community.
Hackathons and Users Community Workshops - Phase 2Qualisys will involve their users community and will include EnTimeMent events as main events in their consolidated Qualisys Users Workshops contributing to the consolidation of a multidisciplinary EnTimeMent users community
Summative evaluation of the EnTimeMent proof-of-concepts, carried out in a series of short lab and in situ studies, comprising interviews with and observations of users of thetechnology, and an evaluation of the effectiveness and efficiency of the users and their satisfaction, while performing the envisaged activities.Final demo proposal.
Proof-of-Concept Testing and Validation in chronic pain management in everyday life - Phase 3Summative evaluation of the EnTimeMent proof-of-concepts, carried out in a series of short lab and in situ studies, comprising interviews with and observations of users of thetechnology, and an evaluation of the effectiveness and efficiency of the users and their satisfaction, while performing the envisaged activities.Final demo proposal.
Proof-of-Concept Testing and Validation in healing and everyday life support of disabled - Phase 3Summative evaluation of the EnTimeMent proof-of-concepts, carried out in a series of short lab and in situ studies, comprising interviews with and observations of users of thetechnology, and an evaluation of the effectiveness and efficiency of the users and their satisfaction, while performing the envisaged activities.Final demo proposal.
EnTimeMent Website creation, updating, maintenance and support.
Pubblicazioni
Autori:
Aline W. de Borst, Maria V. Sanchez-Vives, Mel Slater, Beatrice de Gelder
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eNeuro, Numero Volume:7, Numero:3, 2020, ISSN 2373-2822
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Society for Neuroscience
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10.1523/eneuro.0263-19.2019
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Marta Poyo Solanas, Maarten J. Vaessen, Beatrice de Gelder
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Scientific Reports, Numero Volume:10, Numero:1, 2020, ISSN 2045-2322
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Nature Publishing Group
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10.1038/s41598-020-63125-1
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Laura Maffongelli, Elisabetta Ferrari, Eleonora Bartoli, Claudio Campus, Etienne Olivier, Luciano Fadiga, Alessandro D’Ausilio
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Behavioural Brain Research, Numero Volume:378, Month:January, 2020, ISSN 0166-4328
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Elsevier BV
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10.1016/j.bbr.2019.112248
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Music Perception, Numero Volume:38, Number:2, 2020, Pagina/e 136-194, ISSN 0730-7829
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University of California at Berkeley
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Nature Publishing Group
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Ksenia Kolykhalova, Giorgio Gnecco, Marcello Sanguineti, Gualtiero Volpe, Antonio Camurri
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IEEE Transactions on Human-Machine Systems, Numero Volume:50, Month:December, 2020, Pagina/e 550-560, ISSN 2168-2291
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IEEE Systems, Man, and Cybernetics Society
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Pasquale Cardellicchio, Elisa Dolfini, Alessandro D'Ausilio
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Cell Press
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Marta M. N. Bieńkiewicz, Stefan Janaqi, Pierre Jean, Benoît G. Bardy
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Scientific Reports, Numero Volume: 13, 2023, ISSN 2045-2322
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10.3389/fnhum.2022.944241
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Andrea Casarotto, Elisa Dolfini, Pasquale Cardellicchio, Luciano Fadiga, Alessandro D'Ausilio, Giacomo Koch
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The Journal of Physiology, Numero Volume:601, Number:1, 2023, Pagina/e 211-226, ISSN 1469-7793
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Maarten J. Vaessen; Van der Heijden K; de Gelder B; de Gelder B
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bioRxiv, Numero 24, 2019, ISSN 0000-0000
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Cold Spring Harbor Laboratory
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iScience, Numero Volume:25, 2022, Pagina/e 104096, ISSN 2589-0042
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ScienceDirect - Elsevier
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10.1016/j.isci.2022.104096
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Calabrese, C., Bardy, B. G., de Lellis, P., & di Bernardo, M.
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Frontiers in Psychology, 2022, ISSN 1664-1078
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Frontiers Research Foundation
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10.3389/fpsyg.2021.753758
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Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. DE C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
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ACM Transactions on Computing for Healthcare, Numero Volume:2, Number:3, Article:23, 2021, Pagina/e 1-24, ISSN 2691-1957
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10.1145/3449068
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Giacomo Turri, Andrea Cavallo, Luca Romeo, Massimiliano Pontil, Alan Sanfey, Stefano Panzeri, Cristina Becchio
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ScienceDirect, Elsevier
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A. A. Nogueira-Campos, P. M. Hilt, L. Fadiga, C. Veronesi, A. D’Ausilio, T. Pozzo
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Scientific Reports, Numero 9/1, 2019, ISSN 2045-2322
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Nature Publishing Group
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10.1038/s41598-019-48758-1
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Pasquale Cardellicchio, Elisa Dolfini, Pauline M. Hilt, Luciano Fadiga, Alessandro D’Ausilio
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NeuroImage, Numero Volume:208, 2020, ISSN 1053-8119
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10.1016/j.neuroimage.2019.116445
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J. Laroche, A. Tomassini, G. Volpe, A. Camurri, L. Fadiga, A. D'Ausilio
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Frontiers Research Foundation
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Alice Tomassini; Eric Maris; Pauline M. Hilt; Luciano Fadiga; Luciano Fadiga; Alessandro D'Ausilio; Alessandro D'Ausilio
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PLoS Biology, Numero Volume:18, Month:October, 2020, ISSN 0000-0000
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Scientific Reports, 2021, ISSN 2045-2322
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Nature Publishing Group
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Pasquale Cardellicchio, Elisa Dolfini, Luciano Fadiga, Alessandro D'Ausilio
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Cortex, Numero Volume:133, 2020, Pagina/e 346-357, ISSN 0010-9452
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Noemi Montobbio, Andrea Cavallo , Dalila Albergo, Caterina Ansuini, Francesca Battaglia, Jessica Podda, Lino Nobili, Stefano Panzeri, Cristina Becchio
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Beatrice de Gelder, Marta Poyo Solanas
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Alexandre Coste, Benoît G. Bardy, Ludovic Marin
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Vincenzo D’Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita
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10.1007/978-3-030-85099-9_30
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Pasquale Cardellicchio, Giacomo Koch, Luciano Fadiga, Alessandro D'Ausilio
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Brain Stimulation, Numero Volume:14, Month:August, 2021, Pagina/e 1106-1108, ISSN 1935-861X
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10.1016/j.brs.2021.07.061
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Pauline M. Hilt, Leonardo Badino, Alessandro D’Ausilio, Gualtiero Volpe, Serâ Tokay, Luciano Fadiga, Antonio Camurri
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Scientific Reports, Numero 10/1, 2020, ISSN 2045-2322
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Nature Publishing Group
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10.1038/s41598-019-55965-3
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Francesco Torricelli, Alice Tomassini, Giovanni Pezzulo, Thierry Pozzo, Luciano Fadiga, Alessandro D'Ausilio
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10.1016/j.plrev.2022.11.003
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Pauline M. Hilt, Leonardo Badino, Alessandro D’Ausilio, Gualtiero Volpe, Serâ Tokay, Luciano Fadiga, Antonio Camurri
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Scientific Reports, Numero 9/1, 2019, ISSN 2045-2322
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Nature Publishing Group
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10.1038/s41598-019-42395-4
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P M Hilt, P Cardellicchio, E Dolfini, T Pozzo, L Fadiga, A D’Ausilio
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Cerebral Cortex, Numero 30/7, 2020, Pagina/e 3910-3920, ISSN 1047-3211
Editore:
Oxford University Press
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10.1093/cercor/bhaa006
Autori:
Marta Bienkiewicz; Andrii P. Smykovskyi; Temitayo A. Olugbade; Stefan Janaqi; Antonio Camurri; Nadia Bianchi-Berthouze; Mårten Björkman; Benoît G. Bardy
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Pergamon Press Ltd.
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10.1016/j.neubiorev.2021.08.014
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Giorgio Gnecco, Yuval Hadas, Marcello Sanguineti
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Networks, Numero Volume:74, Numero_2, Month:September, 2019, Pagina/e 161-173, ISSN 0028-3045
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John Wiley & Sons Inc.
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10.1002/net.21887
Autori:
Giuseppe Marrazzo, Maarten J. Vaessen, Beatrice de Gelder
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Neuroimage, 2021, ISSN 1053-8119
Editore:
Academic Press
DOI:
10.1016/j.neuroimage.2021.118545
Autori:
Marco Soriano; Marco Soriano; Atesh Koul; Atesh Koul; Cristina Becchio; Cristina Becchio; Andrea Cavallo; Andrea Cavallo
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Neuropsychologia, Numero 10, 2019, Pagina/e 107205, ISSN 0028-3932
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Pergamon Press Ltd.
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10.1016/j.neuropsychologia.2019.107205
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Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, and Nadia Bianchi-Berthouze
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Numero 5, 2, 81, 2021, Pagina/e 1-27, ISSN 2474-9567
Editore:
ACM
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10.1145/3463508
Autori:
Vera Kurkova, Marcello Sanguineti
Pubblicato in:
Soft Computing, Numero Volume:25, Month:October, 2021, Pagina/e 12641–12648, ISSN 1433-7479
Editore:
Springer
DOI:
10.1007/s00500-021-05938-4
Autori:
Francesca Capozzi, Cigdem Beyan, Antonio Pierro, Atesh Koul, Vittorio Murino, Stefano Livi, Andrew P. Bayliss, Jelena Ristic, Cristina Becchio
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iScience, Numero 16, 2019, Pagina/e 242-249, ISSN 2589-0042
Editore:
Cell Press, Elsevier
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10.1016/j.isci.2019.05.035
Autori:
Aline W. de Borst, Beatrice de Gelder
Pubblicato in:
Brain Sciences, Numero Volume:12, 2022, ISSN 2076-3425
Editore:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/brainsci12030391
Autori:
Lozano-Goupil, J., Bardy, B., & Marin, L.
Pubblicato in:
Frontiers in Psychology, 2021, ISSN 1664-1078
Editore:
Frontiers Research Foundation
DOI:
10.3389/fpsyg.2021.647704
Autori:
Simone Battaglia, Gianluigi Serio, Cristina Scarpazza, Alessandro D'Ausilio, Sara Borgomaneri
Pubblicato in:
Behaviour Research and Therapy, Numero Volume:146, 2021, Pagina/e 103963, ISSN 0005-7967
Editore:
Pergamon Press Ltd.
DOI:
10.1016/j.brat.2021.103963
Autori:
M. Emanuele, G. Nazzaro, M. Marini, C. Veronesi, S. Boni, G. Polletta, A. D’Ausilio, L. Fadiga
Pubblicato in:
Cognition, Numero Volume:213, 2021, ISSN 0010-0277
Editore:
Elsevier BV
DOI:
10.1016/j.cognition.2021.104652
Autori:
Riccardo Viaro, Emma Maggiolini, Emanuele Farina, Rosario Canto, Atsushi Iriki, Alessandro D’Ausilio, Luciano Fadiga
Pubblicato in:
Current Biology, Numero Volume:31, 2021, Pagina/e 4405-4412.e4, ISSN 0960-9822
Editore:
Cell Press
DOI:
10.1016/j.cub.2021.07.054
Autori:
Wenjie Yin; Hang Yin; Danica Kragic; Mårten Björkman
Pubblicato in:
RO-MAN, Numero 4, 2021
Editore:
IEEE
DOI:
10.1109/ro-man50785.2021.9515316
Autori:
Temitayo Olugbade, Raffaele Andrea Buono, Amanda C De C Williams, Santiago De Ossorno Garcia, Nicolas Gold, Catherine Holloway, Nadia Bianchi-Berthouze
Pubblicato in:
10th International Conference on Affective Computing and Intelligent Interaction (ACII), 2022, Pagina/e 1-8, ISSN 0000-0000
Editore:
IEEE Xplore
DOI:
10.1109/acii55700.2022.9953831
Autori:
Clayton, Martin; Li, Jin; Clarke, Alison; Weinzierl, Marion; Leante, Laura; Tarsitani, Simone
Pubblicato in:
Open Science Framework, 2022
Editore:
Center for Open Science
DOI:
10.17605/osf.io/t5bwa
Autori:
Martin Clayton; Preeti Rao; Nithya Shikarpur; Sujoy Roychowdhury; Jin Li
Pubblicato in:
Proceedings of the 23rd International Society for Music Information Retrieval Conference, Numero Month:December, 2022, Pagina/e 283-290, ISSN 0000-0000
Editore:
ISMIR
DOI:
10.5281/zenodo.7316650
Autori:
Neubauer, L; Gold, N; Olugbade, T; Williams, A; Berthouze, N
Pubblicato in:
Proceedings of X Ubiquitous Music, 2021
Editore:
https://dei.fe.up.pt/ubimus/
Autori:
Bi T, Buono RA, Olugbade T, Singh A, Holloway C, Costanza E, Williams A, Gold N, Berthouze N
Pubblicato in:
ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Numero ACM, 2021, Pagina/e 43–53, ISBN 9781450384711
Editore:
ACM
DOI:
10.1145/3461615.3485670
Autori:
T. Olugbade and R. Sagoleo and S. Ghisio and N. Gold and A. C de C Williams and B. de Gelder and A. Camurri and G. Volpe and N. Bianchi-Berthouze
Pubblicato in:
9th International Conference on Affective Computing & Intelligent Interaction (ACII 2021) Workshops and Demos, 2021, 2021
Editore:
IEEE
Autori:
Guanting Cen, Chongyang Wang, Temitayo A. Olugbade, Amanda C. de C. Williams, Nadia Bianchi-Berthouze
Pubblicato in:
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), 2022, Pagina/e 1-8, ISSN 2156-8111
Editore:
IEEE Xplore
DOI:
10.1109/acii55700.2022.9953851
Autori:
Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher Peters
Pubblicato in:
Frontiers in Artificial Intelligence and Applications, Numero Volume 325: ECAI 2020, 2020, Pagina/e 1626 - 1633, ISSN 1879-8314
Editore:
IOS Press
Autori:
Yang Fangkai, Yin Wenjie, Björkman Mårten, Peters Christopher
Pubblicato in:
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2020, Pagina/e 509-516, ISBN 978-1-7281-6075-7
Editore:
IEEE
DOI:
10.1109/ro-man47096.2020.9223584
Autori:
Sumeyra U. Demir Kanik, Wenjie Yin, Arzu Guneysu Ozgur, Ali Ghadirzadeh, Mårten Björkman & Danica Kragic
Pubblicato in:
Social Computing and Social Media: Design, User Experience and Impact, 2022, Pagina/e 65–82, ISBN 978-3-031-05061-9
Editore:
Springer, Cham
DOI:
10.1007/978-3-031-05061-9_5
Autori:
Nicolas Gold, Chongyang Wang, Temitayo Olugbade, Nadia Bianchi-Berthouze, and Amanda C. de C. Williams
Pubblicato in:
Proceedings - International Conference on New Interfaces for Musical Expression, 2020
Editore:
Proceedings - International Conference on New Interfaces for Musical Expression
Autori:
Wang, Chongyang; Peng, Min; Olugbade, Temitayo A.; Lane, Nicholas D.; Williams, Amanda C. De C.; Bianchi-Berthouze, Nadia
Pubblicato in:
Proceedings of 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). (pp. pp. 324-330). IEEE: Cambridge, UK. (2019), 2019
Editore:
IEEE
DOI:
10.1109/aciiw.2019.8925084
Autori:
Cong Bao, Zafeirios Fountas, Temitayo Olugbade, Nadia Bianchi-Berthouze
Pubblicato in:
International Conference on Multimodal Interaction, 2020
Editore:
Association for Computing Machinery (ACM)
Autori:
Vincenzo D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita
Pubblicato in:
2022 International Joint Conference on Neural Networks (IJCNN), 2022, Pagina/e 1-10, ISBN 978-1-7281-8671-9
Editore:
IEEE Xplore
DOI:
10.1109/ijcnn55064.2022.9892372
Autori:
Sukumar Karumuri, Radoslaw Niewiadomski, Gualtiero Volpe, Antonio Camurri
Pubblicato in:
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019, Pagina/e 1-6, ISBN 9781450359719
Editore:
ACM
DOI:
10.1145/3290607.3312910
Autori:
Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
Pubblicato in:
Proceedings of the 23rd International Symposium on Wearable Computers - ISWC '19, 2019, Pagina/e 225-230, ISBN 9781450368704
Editore:
ACM Press
DOI:
10.1145/3341163.3347728
Autori:
Vincenzo D'Amato, Luca Oneto, Antonio Camurri, Davide Anguita, Zinat Zarandi, Luciano Fadiga, Alessandro D'Ausilio, Thierry Pozzo
Pubblicato in:
2022 International Joint Conference on Neural Networks (IJCNN), 2022, Pagina/e 1-9, ISSN 2161-4407
Editore:
IEEE Xplore
DOI:
10.1109/ijcnn55064.2022.9892519
Autori:
T. Olugbade and N. Gold and A. C. de C. Williams and N. Bianchi-Berthouze
Pubblicato in:
Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020, Pagina/e 442-445
Editore:
ACM
DOI:
10.1145/3395035.3425969
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