Cristin-resultat-ID: 1954360
Sist endret: 14. november 2021, 16:36
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Reflections on the Development of the Musical Gestures Toolbox for Python

  • Bálint Laczkó og
  • Alexander Refsum Jensenius


Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2021
Open Access


Fagfelt (NPI)

Fagfelt: Musikkvitenskap
- Fagområde: Humaniora

Beskrivelse Beskrivelse


Reflections on the Development of the Musical Gestures Toolbox for Python


The paper presents the Musical Gestures Toolbox (MGT) for Python, a collection of modules targeted at researchers working with video recordings. The toolbox includes video visualization techniques such as creating motion videos, motion history images, and motiongrams. These visualizations allow for studying video recordings from different temporal and spatial perspectives. The toolbox also includes basic computer vision methods, and it is designed to integrate well with audio analysis toolboxes. The MGT was initially developed to analyze music-related body motion (of musicians, dancers, and perceivers) but is equally helpful for other disciplines working with video recordings of humans, such as linguistics, pedagogy, psychology, and medicine.


Bálint Laczkó

  • Tilknyttet:
Aktiv cristin-person

Alexander Refsum Jensenius

  • Tilknyttet:
    ved RITMO Musikkvitenskap ved Universitetet i Oslo
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Resultatet er en del av Resultatet er en del av

Proceedings of the Nordic Sound and Music Computing Conference.

Kantan, Prithvi Ravi; Paisa, Razvan; Willemsen, Silvin. 2021, Vitenskapelig antologi/Konferanseserie
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