DogDog: Soma-Based Interface Design for an Improvising Musician

Francesco Bigoni, Cumhur Erkut

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstrakt

Improvisation is embodied thought and expression. This paper outlines strategies and tactics to design expressive musical interfaces for improvisers. Some of these strategies are explored through a case study: a non-tactile hand-arm movement interface controlling a granular synthesizer (DogDog), based on high-level movement descriptors. The research through design and performance experience indicates that movement quality descriptors are inherently scalable from hand-arm movements to full body interaction, and that a textural approach to motion tracking fits well the morphing sonic masses generated through granular sound synthesis.
OriginalsprogEngelsk
TitelProceedings of the 7th International Conference on Movement and Computing, MOCO 2020
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato15 jul. 2020
Sider1-4
Artikelnummer23
ISBN (Elektronisk)9781450375054
DOI
StatusUdgivet - 15 jul. 2020
Begivenhed7th International Conference on Movement and Computing, MOCO 2020 - Jersey City, Virtual, USA
Varighed: 15 jul. 202017 jul. 2020

Konference

Konference7th International Conference on Movement and Computing, MOCO 2020
Land/OmrådeUSA
ByJersey City, Virtual
Periode15/07/202017/07/2020
SponsormBrainTrain
NavnACM International Conference Proceeding Series

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