High-performance triboelectric nanogenerator based on MXene functionalized polyvinylidene fluoride composite nanofibers

Nano Energy, Journal Year: 2020, Volume and Issue: 81, P. 105670 - 105670

Published: Dec. 13, 2020

Language: Английский

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Artificial Intelligence‐Enabled Sensing Technologies in the 5G/Internet of Things Era: From Virtual Reality/Augmented Reality to the Digital Twin

Advanced Intelligent Systems, Journal Year: 2022, Volume and Issue: 4(7)

Published: March 29, 2022

With the development of 5G and Internet Things (IoT), era big data‐driven product design is booming. In addition, artificial intelligence (AI) also emerging evolving by recent breakthroughs in computing power software architectures. this regard, digital twin, analyzing various sensor data with help AI algorithms, has become a cutting‐edge technology that connects physical virtual worlds, which sensors are highly desirable to collect environmental information. However, although existing technologies, including cameras, microphones, inertial measurement units, etc., widely used as sensing elements for applications, high‐power consumption battery replacement them still problem. Triboelectric nanogenerators (TENGs) self‐powered supply feasible platform realizing self‐sustainable low‐power systems. Herein, progress on TENG‐based intelligent systems, is, wearable electronics, robot‐related smart homes, followed prospective future enabled fusion technology, focused on. Finally, how apply systems IoT discussed.

Language: Английский

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Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters

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

Published: July 4, 2021

Language: Английский

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Making use of nanoenergy from human – Nanogenerator and self-powered sensor enabled sustainable wireless IoT sensory systems

Nano Today, Journal Year: 2020, Volume and Issue: 36, P. 101016 - 101016

Published: Nov. 7, 2020

Language: Английский

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

Advanced Energy Materials, Journal Year: 2022, Volume and Issue: 13(1)

Published: Nov. 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.

Language: Английский

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Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator

Advanced Science, Journal Year: 2021, Volume and Issue: 8(14)

Published: May 26, 2021

Rapid advancements of artificial intelligence things (AIoT) technology pave the way for developing a digital-twin-based remote interactive system advanced robotic-enabled industrial automation and virtual shopping. The embedded multifunctional perception is urged better interaction user experience. To realize such system, smart soft robotic manipulator presented that consists triboelectric nanogenerator tactile (T-TENG) length (L-TENG) sensor, as well poly(vinylidene fluoride) (PVDF) pyroelectric temperature sensor. With aid machine learning (ML) data processing, fusion T-TENG L-TENG sensors can automatic recognition grasped objects with accuracy 97.143% 28 different shapes objects, while distribution also be obtained through By leveraging IoT (AI) analytics, shop successfully implemented to provide users real-time feedback about details product. In general, by offering more immersive experience in human-machine interactions, proposed shows great potential being interface applications unmanned working space.

Language: Английский

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Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system

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

Published: May 11, 2021

Abstract Rapid developments of robotics and virtual reality technology are raising the requirements more advanced human-machine interfaces for achieving efficient parallel control. Exoskeleton as an assistive wearable device, usually requires a huge cost complex data processing to track multi-dimensional human motions. Alternatively, we propose triboelectric bi-directional sensor universal cost-effective solution customized exoskeleton monitoring all movable joints upper limbs with low power consumption. The corresponding movements, including two DOF rotations shoulder, twisting wrist, bending motions, detected utilized controlling character robotic arm in real-time. Owing structural consistency between body, further kinetic analysis offers additional physical parameters without introducing other types sensors. This sensory system shows great potential being economic interface supporting manipulation both real worlds, automation, healthcare, training applications.

Language: Английский

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Gravity triboelectric nanogenerator for the steady harvesting of natural wind energy

Nano Energy, Journal Year: 2020, Volume and Issue: 82, P. 105740 - 105740

Published: Dec. 31, 2020

Language: Английский

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An Open‐Environment Tactile Sensing System: Toward Simple and Efficient Material Identification

Advanced Materials, Journal Year: 2022, Volume and Issue: 34(29)

Published: May 17, 2022

Robotic perception can have simple and effective sensing functions that are unreachable for humans using only the isolated tactile method, with assistance of a triboelectric nanogenerator (TENG). However, reliability sensors remains major challenge due to inherent environmental limitations. Here, an intelligent system combines TENG deep-learning technology is proposed. Using triple sensor array, typical characteristics each testing material be maintained stably even under different contact conditions (touch external conditions) by extracting features from three independent electrical signals as well normalized output signals. Furthermore, convolutional neural network model integrated, high accuracy 96.62% achieved in identification task. The exhibited open environment real-time demonstration. Compared complex process must integrate multiple (touching viewing) accomplish perception, proposed shows huge advantage cognitive learning visually impaired, biomimetic prosthetics, virtual spaces construction.

Language: Английский

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Fabric‐Assisted MXene/Silicone Nanocomposite‐Based Triboelectric Nanogenerators for Self‐Powered Sensors and Wearable Electronics

Advanced Functional Materials, Journal Year: 2021, Volume and Issue: 32(5)

Published: Oct. 17, 2021

Abstract Surface modification of triboelectric negative layers is an essential factor for boosting the output performance nanogenerators (TENGs). Herein, a novel scalable surface method introduced using fabric‐assisted micropatterning technique on highly MXene/silicone nanocomposite (charge generating) with MXene layer trapping) self‐powered sensors and wearable electronics. The microstructured fabricated directly from fabric template requiring no surface‐active agent, high‐pressure equipment, or high vacuum. To boost proposed double‐side‐contact TENG (DSC‐TENG) performance, different parameters textures are tested optimized roughened microstructures, namely relative humidity. Under optimal conditions, DSC‐TENG improves voltage peak current density by factors 9.8 20, respectively, regarding flat silicone. It exhibits maximum power 55.47 W m −2 at load resistance 0.18 MΩ, corresponding decrease in 75% content 3 mg cm . Also, DSC‐TENG‐based smart home control electrical appliances, theft protection, electronic devices, password authentication, human motion monitoring via smartphone IoT demonstrated. can be implemented types polymers, thereby enabling large‐scale fabrication high‐performance TENGs industrial applications.

Language: Английский

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