Journal of Energy Chemistry, Год журнала: 2023, Номер 79, С. 477 - 488
Опубликована: Янв. 2, 2023
Язык: Английский
Advanced Science, Год журнала: 2021, Номер 9(4)
Опубликована: Ноя. 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.
Язык: Английский
Процитировано
297
Advanced Fiber Materials, Год журнала: 2022, Номер 5(1), С. 12 - 35
Опубликована: Окт. 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
Язык: Английский
Процитировано
200
Nano-Micro Letters, Год журнала: 2022, Номер 14(1)
Опубликована: Июль 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.
Язык: Английский
Процитировано
181
ACS Nano, Год журнала: 2022, Номер 16(3), С. 4654 - 4665
Опубликована: Фев. 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.
Язык: Английский
Процитировано
148
Chemical Engineering Journal Advances, Год журнала: 2021, Номер 9, С. 100237 - 100237
Опубликована: Дек. 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.
Язык: Английский
Процитировано
134
ACS Nano, Год журнала: 2021, Номер 15(11), С. 18312 - 18326
Опубликована: Ноя. 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.
Язык: Английский
Процитировано
132
Nano Energy, Год журнала: 2022, Номер 102, С. 107711 - 107711
Опубликована: Авг. 18, 2022
Язык: Английский
Процитировано
128
Nano-Micro Letters, Год журнала: 2023, Номер 16(1)
Опубликована: Ноя. 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.
Язык: Английский
Процитировано
128
ACS Nano, Год журнала: 2022, Номер 16(2), С. 3341 - 3350
Опубликована: Фев. 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.
Язык: Английский
Процитировано
126
Nano Energy, Год журнала: 2021, Номер 88, С. 106227 - 106227
Опубликована: Июнь 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.
Язык: Английский
Процитировано
116