Technology Roadmap for Flexible Sensors

ACS Nano, Год журнала: 2023, Номер 17(6), С. 5211 - 5295

Опубликована: Март 9, 2023

Humans rely increasingly on sensors to address grand challenges and improve quality of life in the era digitalization big data. For ubiquitous sensing, flexible are developed overcome limitations conventional rigid counterparts. Despite rapid advancement bench-side research over last decade, market adoption remains limited. To ease expedite their deployment, here, we identify bottlenecks hindering maturation propose promising solutions. We first analyze achieving satisfactory sensing performance for real-world applications then summarize issues compatible sensor-biology interfaces, followed by brief discussions powering connecting sensor networks. Issues en route commercialization sustainable growth sector also analyzed, highlighting environmental concerns emphasizing nontechnical such as business, regulatory, ethical considerations. Additionally, look at future intelligent sensors. In proposing a comprehensive roadmap, hope steer efforts towards common goals guide coordinated development strategies from disparate communities. Through collaborative efforts, scientific breakthroughs can be made sooner capitalized betterment humanity.

Язык: Английский

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Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Сен. 5, 2022

Abstract Advancements of virtual reality technology pave the way for developing wearable devices to enable somatosensory sensation, which can bring more comprehensive perception and feedback in metaverse-based society. Here, we propose augmented tactile-perception haptic-feedback rings with multimodal sensing capabilities. This highly integrated ring consists triboelectric pyroelectric sensors tactile temperature perception, vibrators nichrome heaters vibro- thermo-haptic feedback. All these components on be directly driven by a custom wireless platform low power consumption wearable/portable scenarios. With voltage integration processing, high-resolution continuous finger motion tracking is achieved via sensor, also contributes superior performance gesture/object recognition artificial intelligence analysis. By fusing functions, an interactive metaverse cross-space capability successfully achieved, giving people face-to-face like immersive social experience.

Язык: Английский

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Triboelectric Nanogenerator Enabled Wearable Sensors and Electronics for Sustainable Internet of Things Integrated Green Earth

Advanced Energy Materials, Год журнала: 2022, Номер 13(1)

Опубликована: Ноя. 18, 2022

Abstract The advancement of the Internet Things/5G infrastructure requires a low‐cost ubiquitous sensory network to realize an autonomous system for information collection and processing, aiming at diversified applications ranging from healthcare, smart home, industry 4.0 environmental monitoring. triboelectric nanogenerator (TENG) is considered most promising technology due its self‐powered, cost‐effective, highly customizable advantages. Through use wearable electronic devices, advanced TENG developed as core enabling self‐powered sensors, power supplies, data communications aforementioned applications. In this review, advancements TENG‐based electronics regarding materials, material/device hybridization, systems integration, convergence, in environment monitoring, transportation, homes toward future green earth are reported.

Язык: Английский

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Green Flexible Electronics: Natural Materials, Fabrication, and Applications

Advanced Materials, Год журнала: 2023, Номер 35(28)

Опубликована: Фев. 10, 2023

Abstract The emergence of plastic electronics satisfies the increasing demand for flexible electronics. However, it has caused severe ecological problems. Flexible based on natural materials are to hopefully realize “green” and eco‐friendly concept. Herein, recent advances in design fabrication green reviewed. First, this review comprehensively introduces various derivatives, focusing particularly fibroin silk, wood paper, plants, biomass. Second, techniques modifying materials, including physical chemical methods, presented, after which their merits demerits thoroughly discussed. Green comprising electrical wires/electrodes, antennas, thermal management devices, transistors, memristors, sensors, energy‐harvesting energy‐storage displays, actuators, electromagnetic shielding, integration systems, described detail. Finally, perspectives existing challenges opportunities employ presented.

Язык: Английский

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Materials-Driven Soft Wearable Bioelectronics for Connected Healthcare

Chemical Reviews, Год журнала: 2024, Номер 124(2), С. 455 - 553

Опубликована: Янв. 4, 2024

In the era of Internet-of-things, many things can stay connected; however, biological systems, including those necessary for human health, remain unable to connected global Internet due lack soft conformal biosensors. The fundamental challenge lies in fact that electronics and biology are distinct incompatible, as they based on different materials via functioning principles. particular, body is curvilinear, yet typically rigid planar. Recent advances design have generated tremendous opportunities wearable bioelectronics, which may bridge gap, enabling ultimate dream healthcare anyone, anytime, anywhere. We begin with a review historical development healthcare, indicating significant trend healthcare. This followed by focal point discussion about new design, particularly low-dimensional nanomaterials. summarize material types their attributes designing bioelectronic sensors; we also cover synthesis fabrication methods, top-down, bottom-up, combined approaches. Next, discuss energy challenges progress made date. addition front-end devices, describe back-end machine learning algorithms, artificial intelligence, telecommunication, software. Afterward, integration systems been applied various testbeds real-world settings, laboratories preclinical clinical environments. Finally, narrate remaining conjunction our perspectives.

Язык: Английский

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Flexible Energy Storage Devices to Power the Future

Advanced Materials, Год журнала: 2023, Номер 36(4)

Опубликована: Авг. 6, 2023

Abstract The field of flexible electronics is a crucial driver technological advancement, with strong connection to human life and unique role in various areas such as wearable devices healthcare. Consequently, there an urgent demand for energy storage (FESDs) cater the needs forms products. FESDs can be classified into three categories based on spatial dimension, all which share features excellent electrochemical performance, reliable safety, superb flexibility. In this review, application scenarios are introduced main representative applied disparate fields summarized first. More specifically, it focuses types matched from both structural material aspects. Finally, challenges that hinder practical views current barriers presented.

Язык: Английский

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Encoding of tactile information in hand via skin-integrated wireless haptic interface

Nature Machine Intelligence, Год журнала: 2022, Номер 4(10), С. 893 - 903

Опубликована: Окт. 17, 2022

Язык: Английский

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High‐Performance Hydrogel Sensors Enabled Multimodal and Accurate Human–Machine Interaction System for Active Rehabilitation

Advanced Materials, Год журнала: 2023, Номер 36(11)

Опубликована: Дек. 14, 2023

Human-machine interaction (HMI) technology shows an important application prospect in rehabilitation medicine, but it is greatly limited by the unsatisfactory recognition accuracy and wearing comfort. Here, this work develops a fully flexible, conformable, functionalized multimodal HMI interface consisting of hydrogel-based sensors self-designed flexible printed circuit board. Thanks to component regulation structural design hydrogel, both electromyogram (EMG) forcemyography (FMG) signals can be collected accurately stably, so that they are later decoded with assistance artificial intelligence (AI). Compared traditional multichannel EMG signals, human-machine method based on combination FMG significantly improves efficiency increasing information entropy signals. The decoding from only two channels for different gestures reaches 91.28%. resulting AI-powered active system control pneumatic robotic glove assist stroke patients completing movements according recognized human motion intention. Moreover, further generalized applied other remote sensing platforms, such as manipulators, intelligent cars, drones, paving way future robot systems.

Язык: Английский

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Wearable Hybrid Device Capable of Interactive Perception with Pressure Sensing and Visualization

Advanced Functional Materials, Год журнала: 2022, Номер 32(44)

Опубликована: Авг. 7, 2022

Abstract A wearable interactive device that can synchronously detect and visualize pressure, stimuli will supplement easily identifiable in situ signals with conventional sensing outputs only electronic signals. Currently, most devices are composed of physically connected separate pressure sensors display elements, which do not conform to the development miniaturization high integration. The realization combining these two functions one a simplified configuration is still beginning be explored. Inspired by two‐in‐one response octopus, both sense stimuli, an integrated hybrid based on ionic electrochromic proposed for perception. By efficiently reusing electrodes gel, enables quantitative direct color changing pressure. Benefiting from its excellent comprehensive performance, applications explored verified, including perception information, hiding visual information under regulation, repeated writing erasing flexible boards. Notably, multiple customized systems improved design flexibility implemented provide remote monitoring warning behavioral states physiological parameters. This study diversifies solutions realize link between detection visualization.

Язык: Английский

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Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction

Nature Communications, Год журнала: 2022, Номер 13(1)

Опубликована: Сен. 9, 2022

Abstract Wearable strain sensors that detect joint/muscle changes become prevalent at human–machine interfaces for full-body motion monitoring. However, most wearable devices cannot offer customizable opportunities to match the sensor characteristics with specific deformation ranges of joints/muscles, resulting in suboptimal performance. Adequate design is highly required achieve user-designated working windows without sacrificing high sensitivity, accompanied real-time data processing. Herein, Ti 3 C 2 T x MXene modules are fabricated in-sensor machine learning (ML) models, either functioning via wireless streaming or edge computing, classifications and avatar reconstruction. Through topographic on piezoresistive nanolayers, exhibited ultrahigh sensitivities within meet all joint ranges. By integrating a ML chip, an module fabricated, enabling reconstruction high-precision animations mimic continuous motions average determination error 3.5 cm, additional computing devices.

Язык: Английский

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