The design and development of an illuminated polymeric optical fibre (POF) knitted garment

Chen, Amy; Tan, Jeanne; Henry, Philip; Tao, Xiaoming

doi:10.1080/00405000.2019.1661937

Cited by 22 publications

(21 citation statements)

References 21 publications

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“…Recent work in knitting POFs for light‐up garments highlights that, by using weft knit structures with long floats that reduce the amount of areas with extreme curvatures, these materials can be successfully knit. [ 492 ] An alternative approach is to use elastomeric materials to create optical fibers and waveguides that provide additional flexibility and stretchability. [ 405,491,493 ] Challenges remain in miniaturizing and routing the electronics because both a light emitter and a photodetector are required at either end of the textile‐integrated waveguide.…”

Section: Textile Sensors For Wearable Robotsmentioning

confidence: 99%

Textile Technology for Soft Robotic and Autonomous Garments

Sánchez¹,

Walsh²,

Wood³

2020

Adv Funct Materials

168

123

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Textiles have emerged as a promising class of materials for developing wearable robots that move and feel like everyday clothing. Textiles represent a favorable material platform for wearable robots due to their flexibility, low weight, breathability, and soft hand‐feel. Textiles also offer a unique level of programmability because of their inherent hierarchical nature, enabling researchers to modify and tune properties at several interdependent material scales. With these advantages and capabilities in mind, roboticists have begun to use textiles, not simply as substrates, but as functional components that program actuation and sensing. In parallel, materials scientists are developing new materials that respond to thermal, electrical, and hygroscopic stimuli by leveraging textile structures for function. Although textiles are one of humankind's oldest technologies, materials scientists and roboticists are just beginning to tap into their potential. This review provides a textile‐centric survey of the current state of the art in wearable robotic garments and highlights metrics that will guide materials development. Recent advances in textile materials for robotic components (i.e., as sensors, actuators, and integration components) are described with a focus on how these materials and technologies set the stage for wearable robots programmed at the material level.

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Section: Textile Sensors For Wearable Robotsmentioning

confidence: 99%

Textile Technology for Soft Robotic and Autonomous Garments

Sánchez¹,

Walsh²,

Wood³

2020

Adv Funct Materials

168

123

View full text Add to dashboard Cite

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“…The photonic fabrics had been developed by jacquard weaving techniques for the application of soft furnishings in interiors 33 . Besides, knitting of POF is feasible and a new textile structure for illumination was created with a raglan formfitting jumper 35 . In addition to the POF weaving and knitting techniques exploration in previous research, with the integration of electronic components, the design and fabrication of a touch sensitive POF woven fabric system by the application of conductive yarns was conducted.…”

Section: Illuminative Textiles and Wearablesmentioning

confidence: 99%

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

Tan

Shao

Lam

et al. 2021

Textile Research Journal

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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.

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“…In addition, illuminated POFs knitted garment textiles challenged the existing view that POFs cannot be formed into a looped structure. The researchers used a hand flat knitting machine to produce the knitted POF garment comparing with the woven POF fabrics, to balance the benefits of using handcraft techniques for challenging fibres, with the faster knitting speed better associated with using knitting machines (Chen et al , 2020). The colours of the designed luminous fibre optic fabrics could be changed because the original colour of the tricolour emitted light at the micro perforations could be mixed with the colour of added irradiated guided light or reflected ambient light to present a new colour (Gong et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

Quadri-directional optical bending sensor using side-emitting POF integrated with wearable device technology in smart glove

Lin

2022

IJCST

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PurposeIt is important to monitor wrist four direction movements (flexion, extension, adduction and abduction) for hand healthcare, wrist rehabilitation and upper limb exercise, and so on. The purpose of this study is to develop a quadri-directional optical bending sensor that integrated wearable device technology in a smart glove to detect wrist four direction movements.Design/methodology/approachThe quadri-directional optical bending sensor was designed with a microcontroller board, a Bluetooth wireless module, a side-emitting polymeric optical fibre (POF), an infrared light emitting diode and four phototransistors. A linear equation was deduced to calculate bending angle from detecting sensor value of Arduino microcontroller. The bending angle values could be seen by the smartphone screen, so the system has a good human–machine interface function.FindingsThe light emission by macro-bending of the side-emitting POFs that the transmittance of the outer side is greater than the inner. The bending POFs lateral emission phenomenon integrated with phototransistors on the edge is suitable for the development of bending sensors.Originality/valueThis study is to develop a novel quadri-directional optical bending sensor to replace two bi-direction sensors or four uni-direction sensors for wrist four direction movements monitoring.

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The design and development of an illuminated polymeric optical fibre (POF) knitted garment

Abstract: This is a repository copy of The design and development of an illuminated polymeric optical fibre (POF) knitted garment.

Cited by 22 publications

References 21 publications

Textile Technology for Soft Robotic and Autonomous Garments

Textile Technology for Soft Robotic and Autonomous Garments

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

Quadri-directional optical bending sensor using side-emitting POF integrated with wearable device technology in smart glove

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