Rezultaty
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.
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