A wearable noncontact free‐rotating hybrid nanogenerator for self‐powered electronics

Jiang, Dongjie; Ouyang, Han; Shi, Bojing; Zou, Yang; Tan, Puchuan; Qu, Xuecheng; Chao, Shengyu; Yuan, Xiaoyan; Zhao, Chaochao; Fan, Yubo; Li, Zhou

doi:10.1002/inf2.12103

Cited by 75 publications

(71 citation statements)

References 47 publications

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“…The maximum normalized output power of 2 mW/g is achieved under low-frequency motions (5 Hz). Figure 4 C shows another case for a non-flexible wearable EH placed in shoes with the combination of TENG and EMG ( Jiang et al., 2020a ). A PTFE film tailored into a fan-shaped structure with six segments and an acrylic disk holding six magnets form the rotor part.…”

Section: Hybridized Ehs For a Single Energy Sourcementioning

confidence: 99%

“…Reprinted from ref ( Tan et al., 2019 ) with permission, Copyright©2015 WILEY-VCH Verlag GmbH & Co. (C) A free-rotating hybrid EH with EMG and TENG applied in shoes. Reprinted from ref ( Jiang et al., 2020a ) with permission, Copyright©2020 The Authors. (D) A flexible fiber-based hybrid EH with TENG and PENG.…”

Section: Hybridized Ehs For a Single Energy Sourcementioning

confidence: 99%

“…EMGs based on Faraday's law are able to induce large electric current with a varying magnetic field in a conductor coil due to the relative motion between the magnet and the coil. Such non-flexible hybridized designs include watches ( Hou et al., 2019 ), bracelets ( Maharjan et al., 2018 ), insoles ( Jiang et al., 2020a ), and accessories on other wearable devices like bags and clothes ( Rahman et al., 2020 ). However, due to the existence of normally bulked and stiff magnets and non-durable and hardly deformable coils, EMGs are more difficult to be utilized in flexible devices compared with TENGs and PENGs ( Wan et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Flourishing energy harvesters for future body sensor network: from single to multiple energy sources

Guo

Lee

2021

iScience

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Summary Body sensor network (bodyNET) offers possibilities for future disease diagnosis, preventive health care, rehabilitation, and treatment. However, the eventual realization demands reliable and sustainable power sources. The flourishing energy harvesters (EHs) have provided prominent techniques for practically addressing the concurrent energy issue. Targeting for a specific energy source, wearable EHs with a sole conversion mechanism are well investigated. Hybrid EHs integrating different effects for a single source or multi-sources are attaining growing attention, for they provide another degree of freedom concerning a higher-level energy utility. Merging EHs with other functional electronics, diversified functional self-sustainable systems are developed, paving the way for the accomplishment of bodyNET. This review introduces the evolution of wearable EHs from a single effect to hybridized mechanisms for multiple energy sources and wearable to implantable self-sustainable systems. Last, we provide our perspectives on the future development of hybrid EHs to be more competitive with conventional batteries.

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Section: Hybridized Ehs For a Single Energy Sourcementioning

confidence: 99%

Section: Hybridized Ehs For a Single Energy Sourcementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Flourishing energy harvesters for future body sensor network: from single to multiple energy sources

Guo

Lee

2021

iScience

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“…[734][735][736][737][738][739][740] Wearable TENGs have been extensively explored to harvest human motion energy for self-powered systems. [741,742] Soft and flexible materials are suitable to fabricate wearable TENGs for biomechanical energy harvesting. Printing methods are effective in integrating TENGs into designer wearable devices.…”

Section: Energy-harvesting Devicesmentioning

confidence: 99%

Ink‐Based Additive Nanomanufacturing of Functional Materials for Human‐Integrated Smart Wearables

2020

Advanced Intelligent Systems

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Human-integrated devices include wearable and implantable devices for monitoring vital human signals or interacting with the human body. [1-3] The human-integrated devices needed to be tethered to the organs or the human skin for implementing their functions such as sensing and energy harvesting. [4-18] The economical, agile, customizable manufacturing, and integration of multifunctional device modules into networked systems with mechanical compliance and robustness will enable unprecedented human-integrated smart wearables [19-23] and usher in exciting opportunities in emerging technologies such as electronics, [24-29] wearable computation, [30-36] human-machine interface, [37-42] robotics, [43-48] and advanced healthcare. [49-54] The fabrication of stateof-the-art microelectronics involves hightemperature processing steps, which are generally incompatible with the flexible substrates (e.g., paper, polymer, fiber, etc.) [55-61] widely used in the wearable devices. Moreover, the current microfabrication technologies are not well positioned to process the emerging functional nanomaterials (e.g., nanowires [NWs] and 2D materials). [62-65] Such incomparability severely limits the pace of deploying these emerging materials (despite their unprecedented properties) in wearable and flexible device technologies. The additive manufacturing (AM) processes have emerged as potential candidates for addressing the earlier limitations of the current microfabrication technologies in fabricating flexible/wearable printed devices with diversified functionalities, e.g., energy harvesting/storage, sensing, actuation, and computation, leveraging advantages such as maskless processing, versatile ink formulation, low cost, low processing temperature, and scalability. [66-71] Researchers have devoted tremendous efforts to develop the related technologies, and several reviews have provided excellent discussions on the material formulation and process aspects of AM techniques. [63,72-79] However, to our best knowledge, there are few review reports about the ink-based additive nanomanufacturing of functional materials for human-integrated smart wearables. To fill this gap, here we review the recent progress in ink-based

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“…Textile as a fundamental part of normal garments has been extensively investigated as a great flexible and stretchable electronics platform [25][26][27][28] . There are a few research developments of smart textiles based on various mechanisms, aimed to be not only more flexible for an improved comfortability but also multifunctional, i.e., sensation, perception, or integration [29][30][31][32][33][34] . Triboelectric nanogenerator (TENG) gradually becomes an optimal option for scavenging waste energy, and sensing of both physical and chemical parameters based on the textile platform due to the particular advantages, including various choices of materials, easy fabrication, low-power consumption, and low cost [35][36][37][38][39] .…”

Section: Introductionmentioning

confidence: 99%

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

et al. 2020

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The era of artificial intelligence and internet of things is rapidly developed by recent advances in wearable electronics. Gait reveals sensory information in daily life containing personal information, regarding identification and healthcare. Current wearable electronics of gait analysis are mainly limited by high fabrication cost, operation energy consumption, or inferior analysis methods, which barely involve machine learning or implement nonoptimal models that require massive datasets for training. Herein, we developed low-cost triboelectric intelligent socks for harvesting waste energy from low-frequency body motions to transmit wireless sensory data. The sock equipped with self-powered functionality also can be used as wearable sensors to deliver information, regarding the identity, health status, and activity of the users. To further address the issue of ineffective analysis methods, an optimized deep learning model with an end-to-end structure on the socks signals for the gait analysis is proposed, which produces a 93.54% identification accuracy of 13 participants and detects five different human activities with 96.67% accuracy. Toward practical application, we map the physical signals collected through the socks in the virtual space to establish a digital human system for sports monitoring, healthcare, identification, and future smart home applications.

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A wearable noncontact free‐rotating hybrid nanogenerator for self‐powered electronics

Cited by 75 publications

References 47 publications

Flourishing energy harvesters for future body sensor network: from single to multiple energy sources

Flourishing energy harvesters for future body sensor network: from single to multiple energy sources

Ink‐Based Additive Nanomanufacturing of Functional Materials for Human‐Integrated Smart Wearables

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

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