Federico Visi
Federico Visi
Postdoctoral Researcher, Luleň University of Technology
Verified email at federicovisi.com - Homepage
Title
Cited by
Cited by
Year
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 Computingá…, 2014
362014
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
152014
Musical instruments, body movement, space, and motion data: Music as an emergent multimodal choreography.
F Visi, R Schramm, E Coorevits, ER Miranda
Human Technology 13 (1), 2017
142017
Use of Body Motion to Enhance Traditional Musical Instruments.
F Visi, R Schramm, ER Miranda
NIME, 601-604, 2014
122014
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 Environmentalá…, 2014
82014
A knowledge-based, data-driven method for action-sound mapping
F Visi, B Caramiaux, ER Miranda, M Mcloughlin
Copenhagen, 2017
52017
A polyphonic pitch tracking embedded system for rapid instrument augmentation.
R Schramm, F Visi, A Brasil, MO Johann
NIME, 120-125, 2018
42018
Assessing the accuracy of an algorithm for the estimation of spatial gait parameters using inertial measurement units: application to healthy subject and hemiparetic strokeá…
F Visi, T Georgiou, S Holland, O Pinzone, G Donaldson, J Tetley
Proceedings of the 4th International Conference on Movement Computing, 1-7, 2017
42017
Instrumental movements of neophytes: analysis of movement Periodicities, Commonalities and individualities in Mimed violin performance
F Visi, E Coorevits, R Schramm, E Miranda
11th International Symposium on CMMR, 518-533, 2015
42015
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
32018
Real-Time Motion Capture Analysis and Music Interaction with the Modosc Descriptor Library.
F Visi, L Dahl
NIME, 144-147, 2018
32018
Methods and technologies for the analysis and interactive use of body movements in instrumental music performance
F Visi
University of Plymouth, 2017
32017
Analysis of mimed violin performance movements of neophytes
F Visi, E Coorevits, R Schramm, ER Miranda
International Symposium on Computer Music Multidisciplinary Research, 88-108, 2015
32015
Instrumental Movements to Physical Models: Mapping Postural and Sonic Topologies through Machine Learning
F Visi, E Miranda
Porto International Conference on Musical Gesture as Creative Interface 119, 133, 2016
22016
MIMED–PROPOSAL FOR A PROGRAMMING LANGUAGE AT THE MEETING POINT BETWEEN CHOREOGRAPHY, MUSIC AND SOFTWARE DEVELOPMENT.
A Kirke, O Gentile, F Visi, E Miranda
Proceedings of 9th Conference on Interdisciplinary Musicology, 2014
22014
Interactive machine learning of musical gesture
FG Visi, A Tanaka
arXiv preprint arXiv:2011.13487, 2020
12020
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
12020
Interactive Machine Learning: Strategies for live performance using Electromyography
M Zbyszynski, A Tanaka, F Visi
Springer, 2020
12020
Motion Controllers, Sound, and Music in Video Games: State of the Art and Research Perspectives
F Visi, F Faasch
Emotion in Video Game Soundtracking, 85-103, 2018
12018
Analysis of mimed violin performance movements of Neophytes: patterns, periodicities, commonalities and individualities
F Visi, E Coorevits, R Schramm, E Miranda
Music, mind, and embodiment 9617, 88-108, 2016
12016
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