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Cited by 159

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An overview of smart technologies for clothing design and engineering

Lam Po Tang, S., Stylios, G. K.·2006·International Journal of Clothing Science and Technology

Abstract

Purpose: The paper aims to provide an overview of the area of smart textiles. Design/methodology/approach: The paper describes and discusses new and developing materials and technologies used in the textile industries. Findings: Significant progress has been achieved in the area of technical textiles. Fibres, yarns, fabrics and other structures with added‐value functionality have been successfully developed for technical and/or high performance end‐uses. The basic building blocks are already in place in the field of smart textiles and clothing. Practical implications: As progress in science and engineering research advances, and as the gap between designers and scientists narrows, the area of smart clothing is likely to keep on expanding for the foreseeable future. Growth is predicted to occur in two distinct directions: performance‐driven smart clothing and fashion‐driven smart clothing. There are challenges that have to be addressed. Originality/value: The paper provides information of value to those interested in the future directions of the textile industry.

Overview

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Citations

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Metadata

Authors
Lam Po Tang, S., & Stylios, G. K.
Venue
International Journal of Clothing Science and Technology
Publisher
Emerald
Published
2006-03-01
Volume
18
Issue
2
Pages
108-128
ISSN
0955-6222 (ISSN-L)
OpenAlex
W1980260604
Cited by
159
References
0
FWCI
6.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An overview of smart technologies for clothing design and engineering. https://app.cochat.ai/papers/10.1108/09556220610645766
The paper
Lam Po Tang, S., & Stylios, G. K. (2006). An overview of smart technologies for clothing design and engineering. International Journal of Clothing Science and Technology. https://doi.org/10.1108/09556220610645766

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.