A highly durable textile-based sensor as a human-worn material interface for long-term multiple mechanical deformation sensing

Niu, Ben; Hua, Tao; Hu, Haibo; Xu, Bingang; Tian, Xiao; Chan, Kahei; Chen, Shun

doi:10.1039/c9tc04006d

Cited by 44 publications

(49 citation statements)

References 40 publications

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“…From fibers to fabrics, textiles possess many unique properties including durability, conformability, deformability, breathability, and washability [ 68 ]. Therefore, the textile is regarded as an ideal material for developing strain sensors with high sensitivity and stability, although the conductivity and electrochemical properties of textile materials are poor [ 42 ].…”

Section: Preparation Methods and Performance Evaluationmentioning

confidence: 99%

“…Nevertheless, the method of combining graphene-based materials with yarns through dip-coating [ 58 , 59 , 65 , 66 , 67 , 68 , 70 ], layer-by-layer (LbL) assembly [ 60 , 61 , 62 , 63 ] is more widely used. Hamid Souri et al [ 58 ] coat natural fiber yarns with graphene nanoplatelets (GNPs) and carbon black (CB) to obtain conductive yarns.…”

Section: Preparation Methods and Performance Evaluationmentioning

confidence: 99%

“…Cheng et al [ 65 ] dip-coat a yarn with GO and reduced by hydroiodic acid to obtain a RGO coated filament yarn. Niu et al [ 68 ] adopt a dip-coating method to obtain a strain sensor based on polydopamine/reduced graphene oxide/polyurethane yarn (PDA/rGO/PUY). Li et al [ 60 ] coat graphene onto a polyurethane (PU) core via a layer-by-layer assembly method.…”

Section: Preparation Methods and Performance Evaluationmentioning

confidence: 99%

“…One is to prepare conductive textiles via spinning and weaving techniques [ 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 ]. The other is depositing graphene-based materials on the surface of textiles [ 17 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 ].…”

Section: Introductionmentioning

confidence: 99%

“…Graphene-based textile strain sensors are mainly used to sense a wide range of motions, from small (breathing, facial expressions, vocal sounds, coughing, and human pulse, etc.) to large (human limbs) [ 45 , 46 , 50 , 51 , 52 , 57 , 58 , 59 , 61 , 62 , 64 , 65 , 66 , 68 , 70 , 71 , 72 , 76 , 78 , 79 , 80 , 83 , 84 , 85 , 86 , 87 , 88 , 91 , 94 , 95 , 96 , 97 ]. Based on these developments, we summarize challenges and development prospects of graphene-based textile strain sensors, providing meaningful guidance and direction for future research.…”

Section: Introductionmentioning

confidence: 99%

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Review of Graphene-Based Textile Strain Sensors, with Emphasis on Structure Activity Relationship

Zhu

Wan

et al. 2021

Polymers

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Graphene-based textile strain sensors were reviewed in terms of their preparation methods, performance, and applications with particular attention on its forming method, the key properties (sensitivity, stability, sensing range and response time), and comparisons. Staple fiber strain sensors, staple and filament strain sensors, nonwoven fabric strain sensors, woven fabric strain sensors and knitted fabric strain sensors were summarized, respectively. (i) In general, graphene-based textile strain sensors can be obtained in two ways. One method is to prepare conductive textiles through spinning and weaving techniques, and the graphene worked as conductive filler. The other method is to deposit graphene-based materials on the surface of textiles, the graphene served as conductive coatings and colorants. (ii) The gauge factor (GF) value of sensor refers to its mechanical and electromechanical properties, which are the key evaluation indicators. We found the absolute value of GF of graphene-based textile strain sensor could be roughly divided into two trends according to its structural changes. Firstly, in the recoverable deformation stage, GF usually decreased with the increase of strain. Secondly, in the unrecoverable deformation stage, GF usually increased with the increase of strain. (iii) The main challenge of graphene-based textile strain sensors was that their application capacity received limited studies. Most of current studies only discussed washability, seldomly involving the impact of other environmental factors, including friction, PH, etc. Based on these developments, this work was done to provide some merit to references and guidelines for the progress of future research on flexible and wearable electronics.

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Section: Preparation Methods and Performance Evaluationmentioning

confidence: 99%

Section: Preparation Methods and Performance Evaluationmentioning

confidence: 99%

Section: Preparation Methods and Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Review of Graphene-Based Textile Strain Sensors, with Emphasis on Structure Activity Relationship

Zhu

Wan

et al. 2021

Polymers

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Textile Technology for Soft Robotic and Autonomous Garments

Sánchez¹,

Walsh²,

Wood³

2020

Adv Funct Materials

180

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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Ultrahigh Sensitive Carbon‐Based Conducting Rubbers for Flexible and Wearable Human–Machine Intelligence Sensing

Ajeev

Javaregowda

Ali

et al. 2020

Adv Materials Technologies

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polymeric elastomers are promising materials for the flexible and wearable applications. These conducting elastomers possess an acquiescent nature with human skin that undergoes mechanical deformation while performing physical actions such as stretching, bending, twiddling, and folding. [4,5] The sensitivity over such mechanical strain has been measured by the performance metric like gauge factor (GF) and calculated by measuring the change in resistance (δR) to the external strain (δε). Achieving the high-performing, flexible, and wearable strain sensors by silicon and metal-based systems are ambiguous due to its low GF. [6] It leads to the use of polymeric elastomers to fabricate strain sensors that can mount directly on human skin to sense signals corresponding to human bodily motions. In line with this, numerous materials and methodologies have been reported in developing high-performing strain sensors. The library of conducting filler materials like carbon black, [7,8] CNTs, [9,10] nanoparticles, [11] nanotubes, [12,13] graphene, [14-17] conducting polymers, [18] and hydrogels [19-21] has been used to fabricate strain sensors. Also, the fabrication methods like photolithography, [22] screen printing, [23] inkjet printing, [24,25] and spray coating [26] are employed to develop strain sensors. Though these strain sensors have demonstrated superior performance than that of metal and silicon-based strain gauges, the extension of lab-scale technology to the commercial use is hitherto unrealized due to the complicated pre-treatments, instability, and inadequate sensitivity. More importantly, the realization of a highly conductive and stretchable platform to transduce both the low-and high-strain functions of the human body remains challenging. It means the sensor component must be highly sensitive to detect the subtle involuntary functions such as heartbeat, breathing, and voice recognition that produce ultra-low strains. Contrastingly, the same sensor components should work under high-strain voluntary functions of the human body. To detect these arrays of functions, developing the ideal material/component with a high and broad range of gauge factor (GF) is essential. In general, The wearable strain sensors with multifunctional applications can fuel the rapid development of human-machine intelligence for various sectors like healthcare, soft robotics, and Internet of Things applications. However, achieving the low-cost and mass production of wearable sensors with ultrahigh performance remains challenging. Herein, a simple, cost-effective, and scalable methodology to fabricate the flexible and highly sensitive strain sensors using carbon black and latex rubbers (LR) is presented. The LR-based strain sensor demonstrates excellent flexibility, fast response (≈600 ms), ultra-high sensitivity (maximum gauge factor of 1.2 × 10 4 at 250% strain), and long-term stability over 1000 cycles. The LR-based strain sensors are sensitive to monitor subtle human motions such as heart pulse rate and voice recognition along with high...

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A highly durable textile-based sensor as a human-worn material interface for long-term multiple mechanical deformation sensing

Abstract: By applying mussel-inspired polydopamine, a super durable yarn-based strain sensor is developed, allowing it to be weaved into fabric to develop sensing fabrics worn on human body comfortably for long-term and multiple human motion detection.

Cited by 44 publications

References 40 publications

Review of Graphene-Based Textile Strain Sensors, with Emphasis on Structure Activity Relationship

Review of Graphene-Based Textile Strain Sensors, with Emphasis on Structure Activity Relationship

Textile Technology for Soft Robotic and Autonomous Garments

Ultrahigh Sensitive Carbon‐Based Conducting Rubbers for Flexible and Wearable Human–Machine Intelligence Sensing

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