Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT‐Based Smart Healthcare Applications

Advanced Science, Journal Year: 2021, Volume and Issue: 9(4)

Published: Nov. 19, 2021

Gait and waist motions always contain massive personnel information it is feasible to extract these data via wearable electronics for identification healthcare based on the Internet of Things (IoT). There also remains a demand develop cost-effective human-machine interface enhance immersion during long-term rehabilitation. Meanwhile, triboelectric nanogenerator (TENG) revealing its merits in both IoT tends be possible solution. Herein, authors present TENG-based devices gait analysis motion capture intelligence performance lower-limb Four sensors are equidistantly sewed onto fabric belt recognize motion, enabling real-time robotic manipulation virtual game immersion-enhanced training. The insole equipped with two TENG designed walking status detection 98.4% accuracy five different humans aiming at rehabilitation plan selection achieved by leveraging machine learning technology further analyze signals. Through robot, demonstrate that sensory system performs well user recognition, monitoring, as robot gaming-aided training, showing potential IoT-based smart applications.

Language: Английский

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Advanced Fiber Materials for Wearable Electronics

Advanced Fiber Materials, Journal Year: 2022, Volume and Issue: 5(1), P. 12 - 35

Published: Oct. 13, 2022

Abstract Fiber materials are highly desirable for wearable electronics that expected to be flexible and stretchable. Compared with rigid planar electronic devices, fiber-based provide significant advantages in terms of flexibility, stretchability breathability, they considered as the pioneers new generation soft wearables. The convergence textile science, engineering nanotechnology has made it feasible build functions on fibers maintain them during wear. Over last few years, fiber-shaped desired designability integration features have been intensively explored developed. As an indispensable part cornerstone great significance. Herein, research progress advanced fiber is reviewed, which mainly includes various material preparations, fabrication technologies representative studies different applications. Finally, key challenges future directions examined along analysis possible solutions. Graphical abstract

Language: Английский

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Morphological Engineering of Sensing Materials for Flexible Pressure Sensors and Artificial Intelligence Applications

Nano-Micro Letters, Journal Year: 2022, Volume and Issue: 14(1)

Published: July 5, 2022

As an indispensable branch of wearable electronics, flexible pressure sensors are gaining tremendous attention due to their extensive applications in health monitoring, human –machine interaction, artificial intelligence, the internet things, and other fields. In recent years, highly have been developed using various materials/structures transduction mechanisms. Morphological engineering sensing materials at nanometer micrometer scales is crucial obtaining superior sensor performance. This review focuses on rapid development morphological technologies for sensors. We discuss different architectures designs achieve high performance, including sensitivity, broad working range, stable sensing, low hysteresis, transparency, directional or selective sensing. Additionally, general fabrication techniques summarized, self-assembly, patterning, auxiliary synthesis methods. Furthermore, we present emerging high-performing microengineered healthcare, smart homes, digital sports, security machine learning-enabled computational platform. Finally, potential challenges prospects future developments discussed comprehensively.

Language: Английский

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Monitoring the Degree of Comfort of Shoes In-Motion Using Triboelectric Pressure Sensors with an Ultrawide Detection Range

ACS Nano, Journal Year: 2022, Volume and Issue: 16(3), P. 4654 - 4665

Published: Feb. 16, 2022

Shoes play an important role in sports and human daily life. Here, in-shoe sensor pad (ISSP) attached to the vamp lining is based on a triboelectric nanogenerator (TENG) for monitoring real-time stress distribution top side of foot. Each unit this ISSP air-capsule TENG (AC-TENG) consisting activated carbon/polyurethane (AC/PU) microsphere array electrodes. The detection range each AC-TENG reaches 7.27 MPa, which enough pressure change during different sports. This multifunctional can realize many typical functions conventional smart shoes, including step counting human–machine interaction. Moreover, it also reveal special information, fitness concentration toes, in-motion comfort degree. signal processing data transmission modules system have hybrid power supply with wireless transfer, while information about feet be observed cell phone. Hence, provides potential approach study motion degree shoes long-term operations, guide both athlete training customized design shoes.

Language: Английский

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Opportunities and Challenges in Triboelectric Nanogenerator (TENG) based Sustainable Energy Generation Technologies: A Mini-Review

Chemical Engineering Journal Advances, Journal Year: 2021, Volume and Issue: 9, P. 100237 - 100237

Published: Dec. 30, 2021

Almost ten years after the publication of first triboelectric nanogenerator (TENG) paper in 2012, this review gives a brief overview recent technological advances applying TENG technology to key sustainable and renewable energy applications. The examines progress applications four areas such as wearables, wave, wind transport. TENGs have advanced hugely since its inception approaches apply them host freely available sources kinetic been developed. However, electrical output remains low (mostly less than 500 W/m2) compared some other forms generation main challenges for future appear be further boosting power current, fabricating economically designing lifetime survival various practical environments. It concludes with discussion pressing realizing full potential these application particularly from perspective materials fabrication. is noted that considerable research development should required enable large-scale manufacture based devices. will instrumental evolution Internet Things (IoTs), human-machine interfacing, machine learning 'net-zero emission' technologies.

Language: Английский

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Artificial Intelligence of Things (AIoT) Enabled Floor Monitoring System for Smart Home Applications

ACS Nano, Journal Year: 2021, Volume and Issue: 15(11), P. 18312 - 18326

Published: Nov. 1, 2021

To enable smart homes and relative applications, the floor monitoring system with embedded triboelectric sensors has been proven as an effective paradigm to capture ample sensory information from our daily activities, without camera-associated privacy concerns. Yet inherent limitations of such high susceptibility humidity long-term stability remain a great challenge develop reliable system. Here we robust through synergistic integration highly coding mats deep-learning-assisted data analytics. Two quaternary electrodes are configured, their outputs normalized respect reference electrode, leading stable detection that is not affected by ambient parameters operation manners. Besides, due universal electrode pattern design, all can be screen-printed only one mask, rendering higher facileness cost-effectiveness. Then distinctive implemented each mat external wiring, which permits parallel-array connection minimize output terminals complexity. Further integrating analytics, realized for various home interactions, including position/trajectory tracking, identity recognition, automatic controls. Hence, developed low-cost, large-area, reliable, shows promising advancement sensing technology in applications.

Language: Английский

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Multifunctional respiration-driven triboelectric nanogenerator for self-powered detection of formaldehyde in exhaled gas and respiratory behavior

Nano Energy, Journal Year: 2022, Volume and Issue: 102, P. 107711 - 107711

Published: Aug. 18, 2022

Language: Английский

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Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 16(1)

Published: Nov. 13, 2023

The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in intelligentialize human society. As an essential component that bridges physical world and digital signals, flexible sensors are evolving from a single sensing element to smarter system, which is capable highly efficient acquisition, analysis, even perception vast, multifaceted data. While challenging manual perspective, development intelligent been remarkably facilitated owing rapid advances brain-inspired AI innovations both algorithm (machine learning) framework (artificial synapses) level. This review presents progress emerging AI-driven, systems. basic concept machine learning synapses introduced. new enabling features induced by fusion comprehensively reviewed, significantly applications such as sensory systems, soft/humanoid robotics, activity monitoring. two most profound twenty-first century, deep incorporation technology holds tremendous potential for creating beings.

Language: Английский

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Flexible Wood-Based Triboelectric Self-Powered Smart Home System

ACS Nano, Journal Year: 2022, Volume and Issue: 16(2), P. 3341 - 3350

Published: Feb. 11, 2022

With the rapid development of Internet Things, artificial intelligence, and big data, smart home has played a critical role in human life cities, where large amounts distributed sensors should be applied. Here, we report natural wood-based triboelectric self-powered sensor (WTSS) for building system. Based on an effective simple treatment strategy wood, WTSS shows superior sensitivity, flexibility, stability, thinness. Owing to extensive use wood materials construction, is integrated with household facilities applied three real-time human–machine interfaces, including control system, password gate floor monitoring advantages low cost, easy operation, eco-friendliness. This work promotes flexible electronics potential applications construction homes future cities.

Language: Английский

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Emerging artificial intelligence in piezoelectric and triboelectric nanogenerators

Nano Energy, Journal Year: 2021, Volume and Issue: 88, P. 106227 - 106227

Published: June 9, 2021

Piezoelectric nanogenerators (PENG) and triboelectric (TENG) have opened an exciting venue to sustainably harvest electrical energy from the environments, which led multifunctional applications in different fields. More recently, a paradigm shift has directed emerging artificial intelligence (AI) PENG TENG, aiming address challenges of analysis, design, fabrication, application. AI-PENG AI-TENG are envisioned enhance optimize mechanical-to-electrical performance favorable behavior. However, overview on topic not yet been exploited literature. In this review article, we showcase recent progress TENG discuss future trends AI-enhanced with desirable performance, i.e., using AI-enabled design models as viable tool predict, structures materials TENG. This topical explains why extensively considered one promising solutions especially suitable for certain engineering life science, how surpass limitations by AI-based structural material discovery, what technological avenues that may provide green innovations.

Language: Английский

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