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

и другие.

Nano Energy, Год журнала: 2020, Номер 78, С. 105155 - 105155

Опубликована: Июль 26, 2020

Язык: Английский

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

Ruiyang Yin,

Depeng Wang, Shufang Zhao

и другие.

Advanced Functional Materials, Год журнала: 2020, Номер 31(11)

Опубликована: Дек. 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.

Язык: Английский

Процитировано

559

Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications DOI Creative Commons
Tao Jin, Zhongda Sun, Long Li

и другие.

Nature Communications, Год журнала: 2020, Номер 11(1)

Опубликована: Окт. 23, 2020

Designing efficient sensors for soft robotics aiming at human machine interaction remains a challenge. Here, we report smart soft-robotic gripper system based on triboelectric nanogenerator to capture the continuous motion and tactile information gripper. With special distributed electrodes, sensor can perceive contact position area of external stimuli. The gear-based length with stretchable strip allows detection elongation via sequential each tooth. sensory collected during operation is further trained by support vector algorithm identify diverse objects an accuracy 98.1%. Demonstration digital twin applications, which show object identification duplicate robotic manipulation in virtual environment according real-time system, successfully created assembly lines unmanned warehouse applications.

Язык: Английский

Процитировано

545

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

и другие.

InfoMat, Год журнала: 2020, Номер 2(6), С. 1131 - 1162

Опубликована: Июль 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

Язык: Английский

Процитировано

509

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

и другие.

Micromachines, Год журнала: 2019, Номер 11(1), С. 7 - 7

Опубликована: Дек. 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.

Язык: Английский

Процитировано

336

Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications DOI Creative Commons
Zixuan Zhang, Tianyiyi He, Minglu Zhu

и другие.

npj Flexible Electronics, Год журнала: 2020, Номер 4(1)

Опубликована: Окт. 26, 2020

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

Язык: Английский

Процитировано

327

Recent Progress on Flexible Capacitive Pressure Sensors: From Design and Materials to Applications DOI
Rishabh Mishra, Nazek El‐Atab, Aftab M. Hussain

и другие.

Advanced Materials Technologies, Год журнала: 2021, Номер 6(4)

Опубликована: Март 5, 2021

Abstract For decades, the revolution in design and fabrication methodology of flexible capacitive pressure sensors using various inorganic/organic materials has significantly enhanced field wearable electronics with a wide range applications aerospace, automobiles, marine environment, robotics, healthcare, consumer/portable electronics. Mathematical modelling, finite element simulations, unique strategies are utilized to fabricate diverse shapes diaphragms, shells, cantilevers which function normal, touch, or double touch modes, operation principles inspired from microelectromechanical systems (MEMS) based sensing techniques. The technique detects changes capacitance due deformation/deflection sensitive mechanical that alters separation gap capacitor. Due advancement state‐of‐the‐art technologies, performance properties enhanced. In this review paper, recent progress techniques terms design, materials, is reported. mechanics steps paper‐based low‐cost MEMS/flexible devices also broadly Lastly, sensors, challenges, future perspectives discussed.

Язык: Английский

Процитировано

300

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

и другие.

Nano Energy, Год журнала: 2021, Номер 88, С. 106304 - 106304

Опубликована: Июль 4, 2021

Язык: Английский

Процитировано

295

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

и другие.

EcoMat, Год журнала: 2020, Номер 2(4)

Опубликована: Окт. 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

Язык: Английский

Процитировано

269

Technology evolution from self-powered sensors to AIoT enabled smart homes DOI
Bowei Dong, Qiongfeng Shi, Yanqin Yang

и другие.

Nano Energy, Год журнала: 2020, Номер 79, С. 105414 - 105414

Опубликована: Сен. 28, 2020

Язык: Английский

Процитировано

267

Making use of nanoenergy from human – Nanogenerator and self-powered sensor enabled sustainable wireless IoT sensory systems DOI
Minglu Zhu, Zhiran Yi, Bin Yang

и другие.

Nano Today, Год журнала: 2020, Номер 36, С. 101016 - 101016

Опубликована: Ноя. 7, 2020

Язык: Английский

Процитировано

236