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Federico Visi
Federico Visi
Postdoctoral Researcher, Luleå University of Technology
Geverifieerd e-mailadres voor federicovisi.com - Homepage
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Gesture in performance with traditional musical instruments and electronics: Use of embodied music cognition and multimodal motion capture to design gestural mapping strategies
F Visi, R Schramm, E Miranda
Proceedings of the 2014 International Workshop on Movement and Computing …, 2014
512014
Interactive machine learning of musical gesture
FG Visi, A Tanaka
Handbook of artificial intelligence for music: Foundations, advanced …, 2021
252021
Musical instruments, body movement, space, and motion data: music as an emergent multimodal choreography
F Visi, E Coorevits, R Schramm, E Miranda
Centre of Sociological Research, NGO, 2017
242017
Use of Body Motion to Enhance Traditional Musical Instruments.
F Visi, R Schramm, ER Miranda
NIME, 601-604, 2014
202014
Effects of different bow stroke styles on body movements of a viola player: an exploratory study
F Visi, E Coorevits, ER Miranda, M Leman
ICMC, 2014
172014
Gesture-timbre space: Multidimensional feature mapping using machine learning and concatenative synthesis
M Zbyszyński, B Di Donato, FG Visi, A Tanaka
International Symposium on Computer Music Multidisciplinary Research, 600-622, 2019
152019
Assessing the accuracy of an algorithm for the estimation of spatial gait parameters using inertial measurement units: application to healthy subject and hemiparetic stroke …
F Visi, T Georgiou, S Holland, O Pinzone, G Donaldson, J Tetley
Proceedings of the 4th International Conference on Movement Computing, 1-7, 2017
132017
Unfolding| Clusters: A Music and Visual Media Model of ALS Pathophysiology
F Visi, G Dothel, D Williams, E Miranda
Proceedings of SoniHED Conference: Sonification of Health and Environmental …, 2014
132014
Towards assisted interactive machine learning: exploring gesture-sound mappings using reinforcement learning
FG Visi, A Tanaka
ICLI 2020—the fifth international conference on live interfaces, 9-11, 2020
112020
A knowledge-based, data-driven method for action-sound mapping
F Visi, B Caramiaux, M Mcloughlin
NIME 2017: New Interfaces for Musical Expression, 2017
92017
Real-Time Motion Capture Analysis and Music Interaction with the Modosc Descriptor Library.
F Visi, L Dahl
NIME 18, 3-6, 2018
82018
The TCP/Indeterminate Place quartet: A global hyperorgan scenario
R Ek, S Östersjö, F Visi, M Petersson
PubPub, 2021
62021
Modosc: a library of real-time movement descriptors for marker-based motion capture
L Dahl, F Visi
Proceedings of the 5th International Conference on Movement and Computing, 1-4, 2018
62018
Global Hyperorgan: a platform for telematic musicking and research
R Harlow, M Petersson, R Ek, F Visi, S Östersjö
PubPub, 2021
52021
Method development for multimodal data corpus analysis of expressive instrumental music performance
FG Visi, S Östersjö, R Ek, U Röijezon
Frontiers in Psychology 11, 576751, 2020
52020
New water and air pollution sensors added to the Sonic Kayak citizen science system for low cost environmental mapping
AGF Griffiths, JK Garrett, JP Duffy, K Matthews, FG Visi, C Eatock, ...
BioRxiv, 2020.11. 03.366229, 2020
52020
AQAXA (2020). You have a new memory
FG Visi
ICLI 2020—the fifth international conference on live interfaces, 2020
52020
Interactive machine learning: Strategies for live performance using electromyography
M Zbyszynski, A Tanaka, F Visi
Springer, 2020
52020
A polyphonic pitch tracking embedded system for rapid instrument augmentation.
R Schramm, F Visi, A Brasil, MO Johann
NIME, 120-125, 2018
52018
Methods and technologies for the analysis and interactive use of body movements in instrumental music performance
F Visi
University of Plymouth, 2017
52017
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Artikelen 1–20