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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Advances in Biodegradable Electronic Skin: Material Progress and Recent Applications in Sensing, Robotics, and Human–Machine Interfaces

Advanced Materials, Journal Year: 2022, Volume and Issue: 35(4)

Published: June 23, 2022

Abstract The rapid growth of the electronics industry and proliferation electronic materials telecommunications technologies has led to release a massive amount untreated waste (e‐waste) into environment. Consequently, catastrophic environmental damage at microbiome level serious human health diseases threaten natural fate planet. Currently, demand for wearable applications in personalized medicine, skins (e‐skins), monitoring is substantial growing. Therefore, “green” characteristics such as biodegradability, self‐healing, biocompatibility ensure future application e‐skins biomedical engineering bioanalytical sciences. Leveraging sustainability, will dramatically influence fabrication environmentally friendly electronics. Here, molecular structural biological artificial are discussed. focus then turns biodegradable materials, including synthetic‐polymer‐based their recent development e‐skin sensors, robotics, human–machine interfaces (HMIs). Finally, main challenges outlook regarding preparation critically discussed near‐future scenario, which expected lead next generation e‐skins.

Language: Английский

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Beyond Skin Pressure Sensing: 3D Printed Laminated Graphene Pressure Sensing Material Combines Extremely Low Detection Limits with Wide Detection Range

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(28)

Published: April 16, 2022

Abstract Artificial intelligence robots predicted in sci‐fi movies have attracted increasing attention recent years, and much effort has been devoted to improving the sensing manipulation performance of robots. The development robotic skins capable handling complex external pressure environments is highly desired for intelligent However, this remains a major challenge due lack materials that can combine extremely low detection limits wide ranges. Inspired by synergistic strategy dual mechanoreceptors human skin, here, design 3D printing laminated graphene consisting both ultrathin‐ thick‐walled cellular microstructures are demonstrated. Based on such graphene, piezoresistive sensor achieves limit 1 Pa, range (1 Pa–400 kPa), high sensitivities 3.1 0.22 kPa −1 regions Pa–13 13−400 kPa, respectively, graphene‐based skin enables quantitative pressure/weight detection. This be easily integrated into flexible arrays enable mapping spatial distribution pressure, showing great potential applications as electronic physiological signal monitoring, human–machine interfaces.

Language: Английский

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Bioinspired sensor system for health care and human‐machine interaction

EcoMat, Journal Year: 2022, Volume and Issue: 4(5)

Published: April 5, 2022

Abstract Bioinspired sensor system leads the development of new generation technology with remarkable features like ultra‐sensitivity, low‐power consumption and self‐adaptability. With help bioinspired systems, human perception can be quantified machines endowed specific perception. As an emerging technology, has been widely used in various fields such as industrial, medical, food safety, military robotic. This review summarizes recent process system. First, three bionic strategies are defined materials, structures, functional according to sources inspiration. Second, systems different working mechanisms summarized classified into piezoresistive, capacitive, triboelectric, piezoelectric, other types. Afterward, for applications, representative works health care human‐machine interaction focused introduced, respectively. Finally, current challenges prospects also discussed. image

Language: Английский

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Transparent self-powered triboelectric sensor based on PVA/PA hydrogel for promoting human-machine interaction in nursing and patient safety

Nano Energy, Journal Year: 2022, Volume and Issue: 97, P. 107199 - 107199

Published: March 29, 2022

Language: Английский

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Multiangle, self-powered sensor array for monitoring head impacts

Science Advances, Journal Year: 2023, Volume and Issue: 9(20)

Published: May 17, 2023

Mild concussions occur frequently and may come with long-term cognitive, affective, physical sequelae. However, the diagnosis of mild lacks objective assessment portable monitoring techniques. Here, we propose a multiangle self-powered sensor array for real-time head impact to further assist in clinical analysis prevention concussions. The uses triboelectric nanogenerator technology, which converts force from multiple directions into electrical signals. With an average sensitivity 0.214 volts per kilopascal, response time 30 milliseconds, minimum resolution 1.415 kilopascals, sensors exhibit excellent sensing capability over range 0 200 kilopascals. Furthermore, enables reconstructed mapping injury grade via prewarning system. By gathering standardized data, expect build big data platform that will permit in-depth research direct indirect effects between impacts future.

Language: Английский

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A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles

Advanced Materials, Journal Year: 2022, Volume and Issue: 34(14)

Published: Feb. 5, 2022

Automatic control systems are the most efficient technology for reducing labor cost while improving work efficiency. Vector motion monitoring is indispensable normal operation of automatic systems. Here, a self-powered dual-type signal triboelectric nanogenerator (DS-TENG) designed through integrating an alternating-current TENG and direct-current TENG, which can monitor vector movement in real time based on pulse counts. As result, DS-TENG avoids shortcoming traditional sensors amplitude that sensitive to working environment, achieves high sensing precision, maintains stability after reciprocating 500 000 cycles. Moreover, it realizes effective direction recognition by switching type reverse movement. This exhibits precision trajectory tracker, paving way application sensor future.

Language: Английский

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Flexible Mechanical Metamaterials Enabled Electronic Skin for Real‐Time Detection of Unstable Grasping in Robotic Manipulation

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(23)

Published: Feb. 2, 2022

Abstract Electronic‐skin (E‐skin) has been investigated extensively for robotic tactile sensing. However, E‐skin sensors based on flexible metamaterials are still challenging to achieve. Moreover, the implementation of sensor arrays in actual monitoring grasping and manipulation conditions rather limited due difficulty data processing. Herein, high‐performance strain auxetic reported, which endow with capability measuring both compressive (40%) tensile (>80%) a wide range superior sensitivity, as compared without structure. With perception collected by sensors, generic method real‐time detection unstable is established. Through this method, complicated problem processing large‐scale arrayed signals simplified into calculation two indices, extract time frequency domain characteristics signals. The total (including measurement response processing) can be short 100 ms, line human skin slippage perception. Accurate detections during various tasks presented, demonstrating great value approach dexterous manipulation.

Language: Английский

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Ultrathin Eardrum‐Inspired Self‐Powered Acoustic Sensor for Vocal Synchronization Recognition with the Assistance of Machine Learning

Small, Journal Year: 2022, Volume and Issue: 18(13)

Published: Feb. 5, 2022

With the rapid development of human-machine interfaces, artificial acoustic sensors play an important role in hearing impaired. Here, ultrathin eardrum-like triboelectric sensor (ETAS) is presented consisting silver-coated nanofibers, whose thickness only 40 µm. The sensitivity and frequency response range ETAS are closely related to geometric parameters. endows a high 228.5 mV Pa-1 at 95 dB, has broad ranging from 20 5000 Hz, which can be tuned by adjusting thickness, size, or shape sensor. Cooperating with intelligence (AI) algorithms, achieve real-time voice conversion identification accuracy 92.64%. Under good working property AI system, simplifies signal processing reduces power consumption. This work presents strategy for self-power auditory systems, greatly accelerate miniaturization self-powered systems used wearable electronics, augmented reality, virtual control hubs automation.

Language: Английский

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Bioinspired robot skin with mechanically gated electron channels for sliding tactile perception

Science Advances, Journal Year: 2022, Volume and Issue: 8(48)

Published: Dec. 2, 2022

Human-like tactile perception is critical for promoting robotic intelligence. However, reproducing tangential “sliding” of human skin still struggling. Inspired by the lateral gating mechanosensing mechanism mechanosensory cells, which perceives mechanical stimuli tension–induced opening-closing ion channels, we report a robot (R-skin) with mechanically gated electron achieving ultrasensitive and fast-response sliding via pyramidal artificial fingerprint-triggered gates (E-gates, namely, customized V-shaped cracks within embedded mesh channels). By imitating cytomembrane to modulate membrane mechanics, local strain enhanced at E-gates effectively regulate pathways high sensitivity while weakened other positions suppress random robust stability. The R-skin can directly recognize ultrafine surface microstructure (5 μm) response frequency (485 Hz) outshining humans achieve human-like functions, including dexterously distinguishing texture complex-shaped objects providing real-time feedback grasping.

Language: Английский

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