Image Detection and Responsivity Analysis of Embroidered Fabric Markers Using Augmented Reality Technology †

Anuja Pathak, Ian Mills, Frances Cleary

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this paper, we investigate the use of augmented reality technology within an E-textile environment. We place particular emphasis on the analysis of key performance and responsiveness metrics when utilizing augmented reality (AR) applications for embroidery-based logo/design image detection and recognition. To support this analysis and validation, we designed and created four test embroidered images, a fabric quilt with embroidered marker images, and a supporting augmented reality application. From an E-textile point of view, we explore the effects of high/low contrast thread colors, diverse light levels (lux measurements), and the range of angles at which the mobile device/camera, with the associated AR application, can be pointed towards the fabric-embroidered marker. This allows us to assess the level of functionality and responsiveness of the AR application and the overall performance in the testing environment, enabling more fluid usability of the AR-enabled E-textile application.

Original languageEnglish
Article number12
JournalEngineering Proceedings
Volume15
Issue number1
DOIs
Publication statusPublished - 2022

Keywords

  • augmented reality application
  • E-textiles
  • embroidered images
  • responsiveness

Fingerprint

Dive into the research topics of 'Image Detection and Responsivity Analysis of Embroidered Fabric Markers Using Augmented Reality Technology †'. Together they form a unique fingerprint.

Cite this