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Singing Knit: soft knit biosensing for augmenting vocal performances

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conference contribution
posted on 2025-01-16, 12:36 authored by Courtney ReedCourtney Reed, Sophie Skach, Paul Strohmeier, Andrew P. McPherson
This paper discusses the design of the Singing Knit, a wearable knit collar for measuring a singer's vocal interactions through surface electromyography. We improve the ease and comfort of multi-electrode bio-sensing systems by adapting knit e-textile methods. The goal of the design was to preserve the capabilities of rigid electrode sensing while addressing its shortcomings, focusing on comfort and reliability during extended wear, practicality and convenience for performance settings, and aesthetic value. We use conductive, silver-plated nylon jersey fabric electrodes in a full rib knit accessory for sensing laryngeal muscular activation. We discuss the iterative design and the material decision-making process as a method for building integrated soft-sensing wearable systems for similar settings. Additionally, we discuss how the design choices through the construction process reflect its use in a musical performance context.

Funding

Design for Virtuosity: Modelling and Supporting Expertise in Digital Musical Interaction

Engineering and Physical Sciences Research Council

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Principal Electronic Engineering and Com?puter Science Studentship from Queen Mary University of Londo

History

School

  • Loughborough University, London

Published in

AHs '22: Proceedings of the Augmented Humans International Conference 2022

Pages

170 - 183

Source

AHs 2022: Augmented Humans 2022

Publisher

Association for Computing Machinery (ACM)

Version

  • VoR (Version of Record)

Rights holder

© the owner/author(s).

Publisher statement

This work is licensed under a Creative Commons Attribution International 4.0 License.

Publication date

2022-03-13

Copyright date

2022

ISBN

9781450396325

Language

  • en

Location

Kashiwa, Chiba, Japan

Event dates

13th March 2022 -15th March 2022

Depositor

Dr Courtney Reed. Deposit date: 6 June 2024

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