• Intelligent textiles: Designing a gesture-controlled illuminated textile based on computer vision

Tan, Jeanne ORCID: https://orcid.org/0000-0002-0616-006X, Shao, Li, Lam, Ngan Yi Kitty ORCID: https://orcid.org/0000-0001-6622-6211, Toomey, Anne and Ge, Lan, 2021, Journal Article, Intelligent textiles: Designing a gesture-controlled illuminated textile based on computer vision Textile Research Journal, 92 (17-18). pp. 1-15. ISSN 1746-7748

Abstract or Description:

Artificial intelligence (AI) offers the potential for the development of e-textiles that give wearers a smart and intuitive experience. An emerging challenge in intelligent materials design is hand gesture recognition textiles. Most current research focuses on number gesture recognition via smart gloves, so there is a gap in research that studies contact-less number gesture recognition textiles via computer vision. Meanwhile, there is lack of exploration on the integration of illuminating function and number gesture recognition textiles to improve interactivity by real-time visualizing detection results. In this research, a novel interactive illuminating textile with a touch-less number gesture recognition function has been designed and fabricated by using an open-source AI model. It is used in sync with a polymeric optical fiber textile with illuminative features. The textile is color-changing, controlled by the system's mid-air interactive number gesture recognition capability and has a woven stripe pattern and a double-layer weave structure with open pockets to facilitate integration of the system's components. Also described here is a novel design process that permits textile design and intelligent technology to integrate seamlessly and in synchronization, so that design in effect mediates continuously between the physical textile and the intangible technology. Moreover, this design method serves as a reference for the integration of open-source intelligent hardware and software into e-textiles for enhancement of the intuitive function and value via economy of labor.

Subjects: Creative Arts and Design > W200 Design studies > W230 Clothing/Fashion Design > W231 Textile Design
School or Centre: School of Design
Funders: Laboratory for Artificial Intelligence in Design, Hong Kong; Grant(s): RP3-5
Identification Number or DOI: https://doi.org/10.1177/00405175211034245
Additional Information:

** From Crossref journal articles via Jisc Publications Router
** History: epub 13-08-2021;
issued 13-08-2021.

Uncontrolled Keywords: Intelligent textile design; hand gesture recognition; polymeric optical fiber; illumination
SWORD Depositor: Unnamed user with username publicationrouter
Date Deposited: 21 Jan 2022 09:47
Last Modified: 31 Aug 2022 15:01
URI: https://researchonline.rca.ac.uk/id/eprint/4858
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