Suivre
Federico Visi
Federico Visi
Postdoctoral Researcher, Luleå University of Technology
Adresse e-mail validée de federicovisi.com - Page d'accueil
Titre
Citée par
Citée par
Année
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
252017
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
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
62020
Interactive machine learning: Strategies for live performance using electromyography
M Zbyszynski, A Tanaka, F Visi
Springer, 2020
62020
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
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
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
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20