Flexible tensile strain-pressure sensor with an off-axis deformation-insensitivity

Xu, Hongcheng; Zheng, Weihao; Wang, Yuejiao; Xu, Dingbang; Zhao, Ningjuan; Qin, Yuxin; Yuan, Yangbo; Fan, Zhengjie; Nan, Xueli; Duan, Qikai; Wang, Weidong; Lü, Yang; Gao, Libo

doi:10.1016/j.nanoen.2022.107384

Cited by 29 publications

(29 citation statements)

References 43 publications

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“…The latter kind of sensor to detect small deformation is sometimes also referred to as flexible pressure sensors as it is hard to distinguish whether the pressure or the strain stimulus dominates in giving rise to the electrical signal change of the sensors. Flexible strain sensors are usually attached directly to human skins or on clothes and they enable wide applications, such as recording hand gestures [ 23 , 54 , 112 – 114 ], capturing body movements [ 115 – 117 ], analyzing facial expressions [ 37 , 94 , 118 , 119 ], diagnosing throat diseases [ 95 , 120 ], and monitoring skin sclerosis [ 121 ]. Typical design strategies of flexible strain sensors include developing thin films (Fig.…”

Section: Mechanical Sensing Typesmentioning

confidence: 99%

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Machine Learning-Enhanced Flexible Mechanical Sensing

et al. 2023

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To realize a hyperconnected smart society with high productivity, advances in flexible sensing technology are highly needed. Nowadays, flexible sensing technology has witnessed improvements in both the hardware performances of sensor devices and the data processing capabilities of the device’s software. Significant research efforts have been devoted to improving materials, sensing mechanism, and configurations of flexible sensing systems in a quest to fulfill the requirements of future technology. Meanwhile, advanced data analysis methods are being developed to extract useful information from increasingly complicated data collected by a single sensor or network of sensors. Machine learning (ML) as an important branch of artificial intelligence can efficiently handle such complex data, which can be multi-dimensional and multi-faceted, thus providing a powerful tool for easy interpretation of sensing data. In this review, the fundamental working mechanisms and common types of flexible mechanical sensors are firstly presented. Then how ML-assisted data interpretation improves the applications of flexible mechanical sensors and other closely-related sensors in various areas is elaborated, which includes health monitoring, human–machine interfaces, object/surface recognition, pressure prediction, and human posture/motion identification. Finally, the advantages, challenges, and future perspectives associated with the fusion of flexible mechanical sensing technology and ML algorithms are discussed. These will give significant insights to enable the advancement of next-generation artificial flexible mechanical sensing.

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Section: Mechanical Sensing Typesmentioning

confidence: 99%

“…ML-assisted data processing: array integration [ 34 ] (Copyright (2019) Springer Nature), multimodal sensing [ 35 ] (Copyright (2020) The Authors), and data decoupling [ 36 ] (Copyright (2020) Wiley–VCH). Sensing process [ 37 ] (Copyright (2022) Elsevier) and analyzing process [ 20 ] (Copyright (2021) Wiley–VCH) …”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Enhanced Flexible Mechanical Sensing

et al. 2023

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“…Current advancements in state-of-the-art technologies have increased the demand for intelligent wearable electronic devices. − Flexible pressure sensors are vital for physical-to-electrical signal conversions. − These signal conversions play important roles in numerous fields including wearable devices, disease diagnostics, and intelligent robotics. − However, some practical challenges remain including the compatibility of the pressure sensor with various objects, sensitivity of monitoring external force, linear detection range, and stability. − The development of flexible electronic skins with high sensitivity, wide linear detection range, and excellent stability is of great significance and would facilitate their versatile practical applications.…”

Section: Introductionmentioning

confidence: 99%

Maximizing Electron Channels Enabled by MXene Aerogel for High-Performance Self-Healable Flexible Electronic Skin

et al. 2023

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Among the increasingly popular miniature and flexible smart electronics, two-dimensional materials show great potential in the development of flexible electronics owing to their layered structures and outstanding electrical properties. MXenes have attracted much attention in flexible electronics owing to their excellent hydrophilicity and metallic conductivity. However, their limited interlayer spacing and tendency for self-stacking lead to limited changes in electron channels under external pressure, making it difficult to exploit their excellent surface metal conductivity. We propose a strategy for rapid gas foaming to construct interlayer tunable MXene aerogels. MXene aerogels with rich interlayer network structures generate maximized electron channels under pressure, facilitating the effective utilization of the surface metal properties of MXene; this forms a self-healable flexible pressure sensor with excellent sensing properties such as high sensitivity (1,799.5 kPa–1), fast response time (11 ms), and good cycling stability (>25,000 cycles). This pressure sensor has applications in human body detection, human–computer interaction, self-healing, remote monitoring, and pressure distribution identification. The maximized electron channel design provides a simple, efficient, and scalable method to effectively exploit the excellent surface metal conduction of 2D materials.

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“…Besides the sensitive performance, the highly wearing comfort of wearable electronics is essential since long-term and continuous data collecting is required in many practical scenarios 22 . To our knowledge, most of the wearable monitoring devices still relied on traditional stretchable flexible substrates, such as polydimethylsiloxane (PDMS) [23][24][25] , Ecoflex 26,27 , Polyester (PET) 28,29 and so on. They were usually bulky and sealed, which reduced the heat and wet comfort of the skin thus further hindered their long-term availability.…”

Section: Introductionmentioning

confidence: 99%

Biocompatible and breathable healthcare electronics with sensing performances and photothermal antibacterial effect for motion-detecting

et al. 2022

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With the booming development of smart wearable devices, flexible multifunctional composites with high sensitivity and well health therapy have evoked great interest for next-generation healthcare electronics. However, the weak biocompatibility, low breathability, and narrow sensing range greatly hinder the development of healthcare sensors. Herein, a porous, flexible and conductive MXene/Polydimethylsiloxane/Polydopamine/Polyurethane Sponge (MXene/PDMS/PDA/PU) nanocomposite is developed as a promising motion-detecting device with good flexibility, breathability, sensing performance, photothermal therapy and antibacterial activity. Benefiting from the porous structure and biocompatible surface, this multifunctional sensor is further fabricated into a diagnostic and therapeutic system for monitoring human body motion and performing hot therapy/antibacterial treatment in the application of sports injury site. Moreover, both the wireless smart insole and cushion are constructed to gait monitoring and sit position detecting. This multifunctional hybrid sponge not only demonstrates great potential for motion monitoring sensors but also exhibits wide potential in wearable medical assistive and therapeutic systems.

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Flexible tensile strain-pressure sensor with an off-axis deformation-insensitivity

Cited by 29 publications

References 43 publications

Machine Learning-Enhanced Flexible Mechanical Sensing

Machine Learning-Enhanced Flexible Mechanical Sensing

Maximizing Electron Channels Enabled by MXene Aerogel for High-Performance Self-Healable Flexible Electronic Skin

Biocompatible and breathable healthcare electronics with sensing performances and photothermal antibacterial effect for motion-detecting

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