Learning Machine Knit Minput Intertextiles

What lies among these loops of copper, wool and steel? Skin, yarn and wire form a circuit, machine precision meets somatic sense, and tactility elaborates algorithmic entanglements. In this performance, e-textile pieces are patched into a no-input mixer, while player uses interactive machine learning tools to embroider sonic layers onto a repeated gesture. Analog audio signals from a no-input mixing board are routed through a piezoresistive mat which has been knitted from wool and steel yarns. The performer first develops a patch on the no-input mixing board to sound a two-handed pressing gesture on the mat. Then, the they alternate between performing the gesture and refining mappings between a machine listing algorithm and additional layers of sound using the anguilla interactive machine learning package.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-14
DOI
https://doi.org/10.5281/zenodo.15028093
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Learning Machine Knit Minput Intertextiles

Zenodo (CERN European Organization for Nuclear Research)
Advanced Causal Inference Techniques
article

Learning Machine Knit Minput Intertextiles

article en

Abstract

What lies among these loops of copper, wool and steel? Skin, yarn and wire form a circuit, machine precision meets somatic sense, and tactility elaborates algorithmic entanglements. In this performance, e-textile pieces are patched into a no-input mixer, while player uses interactive machine learning tools to embroider sonic layers onto a repeated gesture. Analog audio signals from a no-input mixing board are routed through a piezoresistive mat which has been knitted from wool and steel yarns. The performer first develops a patch on the no-input mixing board to sound a two-handed pressing gesture on the mat. Then, the they alternate between performing the gesture and refining mappings between a machine listing algorithm and additional layers of sound using the anguilla interactive machine learning package.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Advanced Causal Inference Techniques
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