Infrastructure and Reliability Analysis of Electric Networks for E-Textiles

Zheng, Nenggan; Wu, Zhaohui; Lin, Man; Yang, Laurence T.; Pan, Gang

doi:10.1109/tsmcc.2009.2031497

Cited by 19 publications

(8 citation statements)

References 42 publications

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“…made waterproof) can be incorporated into fabrics. These systems usually need customized hardware/software architectures [36] and need an optimized infrastructure for powering computational nodes [37] which are already able to perform digital or analog transmission through acquisition boards. An open area exists in the design of repeatable units or swatches of e-textiles for ease of manufacturability [38] and possible expansion to an industrial scale.…”

Section: Adapted Fabrics: E-textiles Fabrication Methodsmentioning

confidence: 99%

Smart fabric sensors and e-textile technologies: a review

Castano¹,

Flatau²

2014

Smart Mater. Struct.

668

431

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This paper provides a review of recent developments in the rapidly changing and advancing field of smart fabric sensor and electronic textile technologies. It summarizes the basic principles and approaches employed when building fabric sensors as well as the most commonly used materials and techniques used in electronic textiles. This paper shows that sensing functionality can be created by intrinsic and extrinsic modifications to textile substrates depending on the level of integration into the fabric platform. The current work demonstrates that fabric sensors can be tailored to measure force, pressure, chemicals, humidity and temperature variations. Materials, connectors, fabric circuits, interconnects, encapsulation and fabrication methods associated with fabric technologies prove to be customizable and versatile but less robust than their conventional electronics counterparts. The findings of this survey suggest that a complete smart fabric system is possible through the integration of the different types of textile based functional elements. This work intends to be a starting point for standardization of smart fabric sensing techniques and e-textile fabrication methods.

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Section: Adapted Fabrics: E-textiles Fabrication Methodsmentioning

confidence: 99%

Smart fabric sensors and e-textile technologies: a review

Castano¹,

Flatau²

2014

Smart Mater. Struct.

668

431

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“…Wearable devices have significant potential for health monitoring and they are being widely investigated [ 8 - 13 ]. As a very popular tool, the use of wearable devices in medical and fitness applications is rapidly increasing.…”

Section: Introductionmentioning

confidence: 99%

Usability Study of Mainstream Wearable Fitness Devices: Feature Analysis and System Usability Scale Evaluation

Liang¹,

Xian²,

Liu³

et al. 2018

JMIR Mhealth Uhealth

115

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BackgroundWearable devices have the potential to promote a healthy lifestyle because of their real-time data monitoring capabilities. However, device usability is a critical factor that determines whether they will be adopted on a large scale. Usability studies on wearable devices are still scarce.ObjectiveThis study aims to compare the functions and attributes of seven mainstream wearable devices and to evaluate their usability.MethodsThe wearable devices selected were the Apple Watch, Samsung Gear S, Fitbit Surge, Jawbone Up3, Mi Band, Huawei Honor B2, and Misfit Shine. A mixed method of feature comparison and a System Usability Scale (SUS) evaluation based on 388 participants was applied; the higher the SUS score, the better the usability of the product.ResultsFor features, all devices had step counting, an activity timer, and distance recording functions. The Samsung Gear S had a unique sports track recording feature and the Huawei Honor B2 had a unique wireless earphone. The Apple Watch, Samsung Gear S, Jawbone Up3, and Fitbit Surge could measure heart rate. All the devices were able to monitor sleep, except the Apple Watch. For product characteristics, including attributes such as weight, battery life, price, and 22 functions such as step counting, activity time, activity type identification, sleep monitoring, and expandable new features, we found a very weak negative correlation between the SUS scores and price (r=−.10, P=.03) and devices that support expandable new features (r=−.11, P=.02), and a very weak positive correlation between the SUS scores and devices that support the activity type identification function (r=.11, P=.02). The Huawei Honor B2 received the highest score of mean 67.6 (SD 16.1); the lowest Apple Watch score was only 61.4 (SD 14.7). No significant difference was observed among brands. The SUS score had a moderate positive correlation with the user’s experience (length of time the device was used) (r=.32, P<.001); participants in the medical and health care industries gave a significantly higher score (mean 61.1, SD 17.9 vs mean 68.7, SD 14.5, P=.03).ConclusionsThe functions of wearable devices tend to be homogeneous and usability is similar across various brands. Overall, Mi Band had the lowest price and the lightest weight. Misfit Shine had the longest battery life and most functions, and participants in the medical and health care industries had the best evaluation of wearable devices. The perceived usability of mainstream wearable devices is unsatisfactory and customer loyalty is not high. A consumer’s SUS rating for a wearable device is related to their personal situation instead of the device brand. Device manufacturers should put more effort into developing innovative functions and improving the usability of their products by integrating more cognitive behavior change techniques.

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“…Therefore, smart functional textiles have developed swiftly in the past few decades [5][6][7]. Digital components, computing, and electronics embedded e-textiles offered many novel functions to garments [8][9][10]. Various new and unique functions containing textiles are developed such as luminescent textiles, textile displays, emotion sensing dresses, self-cleaning textiles, temperatureregulated textiles, and self-moving textiles [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Shape Memory Polymers for Smart Textile Applications

Thakur¹

2017

Textiles for Advanced Applications

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Shape memory polymer (SMP) is a genre of smart materials which demonstrate a capability to fix in the temporarily programed shape and to recover the original shape upon exposure to external stimuli. Such unique and amazing properties of SMPs are applied to develop smart textiles by incorporating SMP into the fabric. Various types of stimuliresponsive SMPs such as thermal, light, pH, and moisture have been used in textiles for enhancing or attaining some smart properties. The integration of SMPs in fabric provides many fascinating and improved properties such as good aesthetic appeal, comfort, textile soft display, smart controlled drug release, fantasy design, wound monitoring, smart wetting properties and protection against extreme variations in environmental conditions. In this chapter, we discussed different types of SMP used for this purpose, their functions, and applications in textiles with their potential applications in the near future.

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Infrastructure and Reliability Analysis of Electric Networks for E-Textiles

Cited by 19 publications

References 42 publications

Smart fabric sensors and e-textile technologies: a review

Smart fabric sensors and e-textile technologies: a review

Usability Study of Mainstream Wearable Fitness Devices: Feature Analysis and System Usability Scale Evaluation

Shape Memory Polymers for Smart Textile Applications

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