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Tactile embroidery reproduction exploiting machine vision for visually impaired engagement

Jenkinson, George; Samaroudi, Myrsini; Aure Calvet, Xavier

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Authors

George Jenkinson

Myrsini Samaroudi

Xavier Aure Calvet



Contributors

S. Campana
Editor

D. Ferdani
Editor

H. Graf
Editor

G. Guidi
Editor

Z. Hegarty
Editor

S. Pescarin
Editor

F. Remondino
Editor

Abstract

Best conservation practices for historic textiles such as their display behind glass and in low light conditions to prevent damage and deterioration create significant barriers for visually impaired audiences. Alternative sensory experiences, particularly tactile exploration, have proven essential for increasing engagement with historical and cultural objects for these visitors. Leveraging state-of-the-art machine vision approaches, we present a comprehensive workflow to generate machinable 3D models across multiple materials. We evaluate these reproductions with visually impaired participants using the replica experience framework, analysing preferences across material types, tactile features, and representation techniques. Our preliminary findings demonstrate that combining contextual audio guides with tactile objects significantly enhances understanding and engagement. Notably, providing multiple material versions of the same artefact better accommodates the diverse preferences and tactile sensitivities found within the visually impaired community, suggesting material diversity should be a key consideration in developing inclusive museum experiences.

Presentation Conference Type Conference Paper (published)
Conference Name Digital Heritage 2025 - 4th International Congress & Expo
Start Date Sep 8, 2025
End Date Sep 13, 2025
Acceptance Date Jul 10, 2025
Publication Date 2025
Deposit Date Jul 28, 2025
Publicly Available Date Oct 17, 2025
Peer Reviewed Peer Reviewed
Book Title DH2025 - Digital Heritage International Congress 2025
ISBN 9783038682776
DOI https://doi.org/10.2312/dh.20253349
Keywords Human-centered computing, Accessibility technologies, Computing methodologies, Image processing, Applied computing, Digital libraries and archive, Reproduction, Visually Impaired
Public URL https://uwe-repository.worktribe.com/output/14724945

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