Advances in chemical sensing technology for enabling the next-generation self-sustainable integrated wearable system in the IoT era DOI Creative Commons
Feng Wen, Tianyiyi He, Huicong Liu

et al.

Nano Energy, Journal Year: 2020, Volume and Issue: 78, P. 105155 - 105155

Published: July 26, 2020

Language: Английский

Haptic-feedback smart glove as a creative human-machine interface (HMI) for virtual/augmented reality applications DOI Creative Commons
Minglu Zhu, Zhongda Sun, Zixuan Zhang

et al.

Science Advances, Journal Year: 2020, Volume and Issue: 6(19)

Published: May 8, 2020

Human-machine interfaces (HMIs) experience increasing requirements for intuitive and effective manipulation. Current commercialized solutions of glove-based HMI are limited by either detectable motions or the huge cost on fabrication, energy, computing power. We propose haptic-feedback smart glove with triboelectric-based finger bending sensors, palm sliding sensor, piezoelectric mechanical stimulators. The detection multidirectional events is demonstrated in virtual space using self-generated triboelectric signals various degrees freedom human hand. also perform haptic stimulation via chips to realize augmented HMI. achieves object recognition machine learning technique, an accuracy 96%. Through integrated demonstration multidimensional manipulation, feedback, AI-based recognition, our reveals its potential as a promising solution low-cost advanced human-machine interaction, which can benefit diversified areas, including entertainment, home healthcare, sports training, medical industry.

Language: Английский

Citations

595

Wearable Sensors‐Enabled Human–Machine Interaction Systems: From Design to Application DOI

Ruiyang Yin,

Depeng Wang, Shufang Zhao

et al.

Advanced Functional Materials, Journal Year: 2020, Volume and Issue: 31(11)

Published: Dec. 29, 2020

Abstract In comparison to traditional bulky and rigid electronic devices, the human–machine interaction (HMI) system with flexible wearable components is an inevitable future trend. To achieve effective, intuitive, seamless manipulation of high‐performance HMI systems, it important develop effective strategies for designing material microstructures on sensors electric devices excellent mechanical flexibility stretchability. The real‐time acquisition human physiology surrounding signals through accurate basis HMIs. Herein, construction a that utilizes sensors, communication modes, actuators reviewed. mechanisms various based different are analyzed discussed. functional mechanism, selection, novel design each part summarized in detail. modes interactive systems manufacturing technology soft machines also introduced. Additionally, most advanced applications intelligent identification security, controls robots, augmented reality, virtual reality have been highlighted. review concludes overview remaining key challenges several ideas regarding further improvement systems.

Language: Английский

Citations

542

Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things DOI Creative Commons
Qiongfeng Shi, Bowei Dong, Tianyiyi He

et al.

InfoMat, Journal Year: 2020, Volume and Issue: 2(6), P. 1131 - 1162

Published: July 12, 2020

Abstract The past few years have witnessed the significant impacts of wearable electronics/photonics on various aspects our daily life, for example, healthcare monitoring and treatment, ambient monitoring, soft robotics, prosthetics, flexible display, communication, human‐machine interactions, so on. According to development in recent years, next‐generation electronics photonics are advancing rapidly toward era artificial intelligence (AI) internet things (IoT), achieve a higher level comfort, convenience, connection, intelligence. Herein, this review provides an opportune overview progress electronics, photonics, systems, terms emerging materials, transducing mechanisms, structural configurations, applications, their further integration with other technologies. First, general is summarized applications physical sensing, chemical interaction, Then self‐sustainable systems discussed based system energy harvesting storage Next, technology fusion AI reviewed, showing emergence rapid intelligent/smart systems. In last section review, perspectives about future trends provided, that is, multifunctional, self‐sustainable, intelligent AI/IoT era. image

Language: Английский

Citations

498

Machine Learning Glove Using Self‐Powered Conductive Superhydrophobic Triboelectric Textile for Gesture Recognition in VR/AR Applications DOI Creative Commons
Feng Wen, Zhongda Sun, Tianyiyi He

et al.

Advanced Science, Journal Year: 2020, Volume and Issue: 7(14)

Published: June 9, 2020

The rapid progress of Internet things (IoT) technology raises an imperative demand on human machine interfaces (HMIs) which provide a critical linkage between and machines. Using glove as intuitive low-cost HMI can expediently track the motions fingers, resulting in straightforward communication media human-machine interactions. When combining several triboelectric textile sensors proper learning technique, it has great potential to realize complex gesture recognition with minimalist-designed for comprehensive control both real virtual space. However, humidity or sweat may negatively affect output well itself. Hence, this work, facile carbon nanotubes/thermoplastic elastomer (CNTs/TPE) coating approach is investigated detail achieve superhydrophobicity performance improvement. With energy harvesting motion sensing capabilities, using superhydrophobic realizes self-powered interface recognition. By leveraging technology, various tasks are done time by gestures highly accurate reality/augmented reality (VR/AR) controls including gun shooting, baseball pitching, flower arrangement, minimized effect from during operation.

Language: Английский

Citations

401

From contact electrification to triboelectric nanogenerators DOI
Zhong Lin Wang

Reports on Progress in Physics, Journal Year: 2021, Volume and Issue: 84(9), P. 096502 - 096502

Published: June 10, 2021

Although the contact electrification (CE) (or usually called 'triboelectrification') effect has been known for over 2600 years, its scientific mechanism still remains debated after decades. Interest in studying CE recently revisited due to invention of triboelectric nanogenerators (TENGs), which are most effective approach converting random, low-frequency mechanical energy (called high entropy energy) into electric power distributed applications. This review is composed three parts that coherently linked, ranging from basic physics, through classical electrodynamics, technological advances and engineering First, mechanisms studied general cases involving solids, liquids gas phases. Various physics models presented explain fundamentals by illustrating electron transfer dominant solid-solid interfaces. Electron also occurs at liquid-solid liquid-liquid An electron-cloud overlap model proposed general. extended interfaces, leading a revision formation double layer Second, adding time-dependent polarization term

Language: Английский

Citations

391

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove DOI Creative Commons
Feng Wen, Zixuan Zhang, Tianyiyi He

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: Sept. 10, 2021

Sign language recognition, especially the sentence is of great significance for lowering communication barrier between hearing/speech impaired and non-signers. The general glove solutions, which are employed to detect motions our dexterous hands, only achieve recognizing discrete single gestures (i.e., numbers, letters, or words) instead sentences, far from satisfying meet signers' daily communication. Here, we propose an artificial intelligence enabled sign recognition system comprising sensing gloves, deep learning block, virtual reality interface. Non-segmentation segmentation assisted model achieves 50 words 20 sentences. Significantly, approach splits entire signals into word units. Then recognizes all elements reversely reconstructs Furthermore, new/never-seen sentences created by new-order recombination can be recognized with average correct rate 86.67%. Finally, results projected space translated text audio, allowing remote bidirectional signers

Language: Английский

Citations

348

Development Trends and Perspectives of Future Sensors and MEMS/NEMS DOI Creative Commons
Jianxiong Zhu, Xinmiao Liu, Qiongfeng Shi

et al.

Micromachines, Journal Year: 2019, Volume and Issue: 11(1), P. 7 - 7

Published: Dec. 18, 2019

With the fast development of fifth-generation cellular network technology (5G), future sensors and microelectromechanical systems (MEMS)/nanoelectromechanical (NEMS) are presenting a more critical role to provide information in our daily life. This review paper introduces trends perspectives MEMS/NEMS. Starting from issues MEMS fabrication, we introduced typical for their applications Internet Things (IoTs), such as physical sensor, acoustic gas sensor. Toward intelligence less power consumption, components including MEMS/NEMS switch, piezoelectric micromachined ultrasonic transducer (PMUT), energy harvesting were investigated assist sensors, event-based or almost zero-power. Furthermore, rigid substrate toward NEMS flexible-based flexibility interface was discussed another important trend next-generation wearable multi-functional sensors. Around about big data human-machine realization human beings’ manipulation, artificial (AI) virtual reality (VR) technologies finally realized using sensor nodes its wave identification various scenarios.

Language: Английский

Citations

329

Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters DOI
Long Liu, Xinge Guo, Chengkuo Lee

et al.

Nano Energy, Journal Year: 2021, Volume and Issue: 88, P. 106304 - 106304

Published: July 4, 2021

Language: Английский

Citations

292

The Evolution of Flexible Electronics: From Nature, Beyond Nature, and To Nature DOI Creative Commons
Panpan Wang, Mengmeng Hu, Hua Wang

et al.

Advanced Science, Journal Year: 2020, Volume and Issue: 7(20)

Published: Aug. 28, 2020

Abstract The flourishing development of multifunctional flexible electronics cannot leave the beneficial role nature, which provides continuous inspiration in their material, structural, and functional designs. During evolution electronics, some originated from were even beyond others implantable or biodegradable eventually to nature. Therefore, relationship between nature is undoubtedly vital since harmony technology would promote sustainable development. Herein, materials selection functionality design for that are mostly inspired first introduced with certain Then, frontier advances on including main individual components (i.e., energy (the power source) sensor electric load)) presented aim enlightening harmonious modern Finally, critical issues next‐generation discussed provide possible solutions new insights prospective exploration directions.

Language: Английский

Citations

289

Progress inTENGtechnology—A journey from energy harvesting to nanoenergy and nanosystem DOI Creative Commons
Jianxiong Zhu, Minglu Zhu, Qiongfeng Shi

et al.

EcoMat, Journal Year: 2020, Volume and Issue: 2(4)

Published: Oct. 11, 2020

Abstract Triboelectric nanogenerator (TENG) technology is a promising research field for energy harvesting and nanoenergy nanosystem (NENS) in the aspect of mechanical, electrical, optical, acoustic, fluidic, so on. This review systematically reports progress TENG technology, terms energy‐boosting, emerging materials, self‐powered sensors, NENS, its further integration with other potential technologies. Starting from mechanisms including ways charge generation we introduce applications harvesters to various kinds that is, physical chemical/gas sensors. After that, NENS are discussed, such as blue energy, human‐machine interfaces (HMIs), neural interfaces/implanted devices, optical interface/wearable photonics. Moving new directions beyond TENG, depict hybrid technologies, dielectric‐elastomer‐enhancement, self‐healing, shape‐adaptive capability, self‐sustained and/or internet things (IoT). Finally, outlooks conclusions about future development trends technologies discussed toward multifunctional intelligent systems. image

Language: Английский

Citations

269