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