Explore the words cloud of the MIM project. It provides you a very rough idea of what is the project "MIM" about.
The following table provides information about the project.
Coordinator |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Organization address contact info |
Coordinator Country | France [FR] |
Project website | http://mim.ircam.fr |
Total cost | 232˙160 € |
EC max contribution | 232˙160 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2014 |
Funding Scheme | MSCA-IF-GF |
Starting year | 2016 |
Duration (year-month-day) | from 2016-01-04 to 2019-01-03 |
Take a look of project's partnership.
# | ||||
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1 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | coordinator | 232˙160.00 |
2 | INSTITUT DE RECHERCHE ET DE COORDINATION ACOUSTIQUE MUSIQUE - IRCAM | FR (PARIS) | participant | 0.00 |
3 | ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING MCGILL UNIVERSITY | CA (MONTREAL) | partner | 0.00 |
The proposed project aims to enhance Human Motion–Computer Interaction by leveraging on a multidisciplinary approach between experimental psychology, music technology and computational modelling. Firstly, the project looks at skilled activities, in particular music performance, in order to understand fundamental cognitive and psychological aspects of control and expression in human motion. The project involves computational models of motor control and expressive variations built from music performance data collected during psychophysical studies. Secondly, the project broaches the implementation of these models in Digital Musical Instruments (DMI), thus creating a new type of digital instrument based on sensorimotor learning mechanisms. The resulting DMI is then assessed through a user study in which elements of exploration and engagement will be tested over several sessions. Therefore, the project contributes to two main uncharted research areas. Firstly it contributes to the fundamental understanding of sensorimotor learning processes by considering complex human motion, specifically motion in music performance. Secondly, it represents an original application of computational modelling by modelling expressive musical gestures and transferring these models to interactive systems.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Baptiste Caramiaux, Frédéric Bevilacqua, Marcelo M. Wanderley, Caroline Palmer Dissociable effects of practice variability on learning motor and timing skills published pages: e0193580, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0193580 |
PLOS ONE 13/3 | 2019-09-13 |
2018 |
Kristina Höök, Baptiste Caramiaux, Cumhur Erkut, Jodi Forlizzi, Nassrin Hajinejad, Michael Haller, Caroline Hummels, Katherine Isbister, Martin Jonsson, George Khut, Lian Loke, Danielle Lottridge, Patrizia Marti, Edward Melcer, Florian Müller, Marianne Petersen, Thecla Schiphorst, Elena Segura, Anna Ståhl, Dag Svanæs, Jakob Tholander, Helena Tobiasson Embracing First-Person Perspectives in Soma-Based Design published pages: 8, ISSN: 2227-9709, DOI: 10.3390/informatics5010008 |
Informatics 5/1 | 2019-09-13 |
2017 |
Caramiaux, Baptiste; Françoise, Jules; Bevilacqua, Frédéric Dynamic Bayesian networks for musical interaction published pages: , ISSN: , DOI: |
The Routledge Companion to Embodied Music Interaction 2 | 2019-09-13 |
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The information about "MIM" are provided by the European Opendata Portal: CORDIS opendata.