Recent developments in sensor technologies allowed the definition of new human-computer interaction channels, useful for people with very limiting motor disabilities such as quadriplegia. Some of these sensors are available pre-packaged on the mass market, com- plete with computer interaction softwares, while others are easily achievable at low costs through DIY approaches. In this article we present Resin, an Accessible Digital Musical Instrument dedicated to people with quadriplegic disability. Resin exploits two interaction channels, head movements and the shape of the vocal tract, detected through the corresponding acoustic resonances, to control musical performance parameters. The structure of the instrument is dis- cussed, from both the hardware and software points of view. Feature extraction algorithms for both channels are explained, particularly focusing on the vocal tract resonances interaction paradigm.

Resin: a Vocal Tract Resonances and Head Based Accessible Digital Musical Instrument / N. Davanzo, F. Avanzini - In: AM '21: Proceedings[s.l] : ACM, 2021. - ISBN 9781450385695. - pp. 280-283 (( Intervento presentato al 16. convegno AudioMostly tenutosi a Trento nel 2021 [10.1145/3478384.3478403].

Resin: a Vocal Tract Resonances and Head Based Accessible Digital Musical Instrument

N. Davanzo
;
F. Avanzini
2021

Abstract

Recent developments in sensor technologies allowed the definition of new human-computer interaction channels, useful for people with very limiting motor disabilities such as quadriplegia. Some of these sensors are available pre-packaged on the mass market, com- plete with computer interaction softwares, while others are easily achievable at low costs through DIY approaches. In this article we present Resin, an Accessible Digital Musical Instrument dedicated to people with quadriplegic disability. Resin exploits two interaction channels, head movements and the shape of the vocal tract, detected through the corresponding acoustic resonances, to control musical performance parameters. The structure of the instrument is dis- cussed, from both the hardware and software points of view. Feature extraction algorithms for both channels are explained, particularly focusing on the vocal tract resonances interaction paradigm.
applied computing; arts and humanities; sound and music computing; accessibility; musical instrument; vocal tract; head tracking
Settore INF/01 - Informatica
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/946462
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