A review of single electrode triboelectric nanogenerators

Nano Energy, Journal Year: 2022, Volume and Issue: 106, P. 108043 - 108043

Published: Nov. 30, 2022

Language: Английский

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Deep‐Learning‐Assisted Noncontact Gesture‐Recognition System for Touchless Human‐Machine Interfaces

Advanced Functional Materials, Journal Year: 2022, Volume and Issue: 32(49)

Published: Sept. 30, 2022

Abstract Human‐machine interfaces (HMIs) play important role in the communication between humans and robots. Touchless HMIs with high hand dexterity hygiene hold great promise medical applications, especially during pandemic of coronavirus disease 2019 (COVID‐19) to reduce spread virus. However, current touchless are mainly restricted by limited types gesture recognition, requirement wearing accessories, complex sensing platforms, light conditions, low recognition accuracy, obstructing their practical applications. Here, an intelligent noncontact gesture‐recognition system is presented through integration a triboelectric sensor (TTS) deep learning technology. Combined deep‐learning‐based multilayer perceptron neural network, TTS can recognize 16 different gestures average accuracy 96.5%. The further applied control robot for collecting throat swabs mode. Compared present HMIs, proposed diverse utilizing charges naturally carried on human fingers without need complicated device structures, adequate achieves accuracy. This could provide exciting opportunities develop new generation equipment, as well public facilities, smart robots, virtual reality, metaverse, etc.

Language: Английский

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Advances in Wearable Strain Sensors Based on Electrospun Fibers

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(18)

Published: Feb. 25, 2023

Abstract Wearable strain sensors with the ability of detecting physiological activities play an important role in personalized healthcare. Electrospun fibers have become a popular building block for wearable due to their excellent mechanical properties, breathability, and light weight. In this review, structure preparation process electrospun conductive layer are systematically introduced. The impact materials structures on following discussion sensing performance optimization strategies is outlined. Furthermore, applications fiber‐based biomonitoring, motion detection, human‐machine interaction presented. Finally, challenges promising future directions community based pointed out.

Language: Английский

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Smart textiles for self-powered biomonitoring

Med-X, Journal Year: 2023, Volume and Issue: 1(1)

Published: July 11, 2023

Abstract Merging electronics with textiles has become an emerging trend since hold magnificent wearing comfort and user-friendliness compared conventional wearable bioelectronics. Smart can be effectively integrated into our daily to convert on-body biomechanical, biochemical, body heat energy electrical signals for long-term, real-time monitoring of physiological states, showing compelling medical economic benefits. This review summarizes the current progress in self-powered biomonitoring along three pathways: heat, biochemical conversion. Finally, it also presents promising directions challenges field, as well insights future development. aims highlight frontiers smart biomonitoring, which could contribute revolutionizing traditional healthcare a personalized model. Graphical Self-powered via conversion are discussed this work. Platform technologies, including piezoelectric nanogenerators (PENGs), triboelectric (TENGs), magnetoelastic generators (MEGs) biomechanical conversion, thermoelectric (TEGs) boy biofuel cells (BFCs) systematically introduced textile form. Working manner greatly improved comfort, pave road healthcare.

Language: Английский

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Ti₃C₂T_x MXene-Based Multifunctional Tactile Sensors for Precisely Detecting and Distinguishing Temperature and Pressure Stimuli

ACS Nano, Journal Year: 2023, Volume and Issue: 17(16), P. 16036 - 16047

Published: Aug. 14, 2023

Although skin-like sensors that can simultaneously detect various physical stimuli are of fair importance in cutting-edge human-machine interaction, robotic, and healthcare applications, they still face challenges facile, scalable, cost-effective production using conventional active materials. The emerging two-dimensional transition metal carbide, Ti3C2Tx MXene, integrated with favorable thermoelectric properties, metallic-like conductivity, a hydrophilic surface, is promising for solving these problems. Herein, multifunctional designed to precisely distinguish temperature pressure without cross-talk by decorating elastic porous substrates MXene sheets. Because the combination conductive thermally insulating, elastic, substrate integrates efficient Seebeck piezoresistive effects, resultant sensor exhibits not only an ultralow detection limit (0.05 K), high signal-to-noise ratio, excellent cycling stability but also sensitivity, fast response time, outstanding durability detection. Based on impressive dual-mode sensing properties independent detections, multimode input terminal electronic skin created, exhibiting great potential robotic interaction applications. This work provides scalable fabrication tactile detecting distinguishing stimuli.

Language: Английский

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All-in-one strain-triboelectric sensors based on environment-friendly ionic hydrogel for wearable sensing and underwater soft robotic grasping

Nano Energy, Journal Year: 2023, Volume and Issue: 111, P. 108387 - 108387

Published: March 25, 2023

Language: Английский

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Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems

Nano Energy, Journal Year: 2022, Volume and Issue: 105, P. 108041 - 108041

Published: Nov. 26, 2022

Language: Английский

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Advanced Dielectric Materials for Triboelectric Nanogenerators: Principles, Methods, and Applications

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(52)

Published: March 22, 2024

Abstract Triboelectric nanogenerator (TENG) manifests distinct advantages such as multiple structural selectivity, diverse selection of materials, environmental adaptability, low cost, and remarkable conversion efficiency, which becomes a promising technology for micro‐nano energy harvesting self‐powered sensing. Tribo‐dielectric materials are the fundamental core components high‐performance TENGs. In particular, charge generation, dissipation, storage, migration dielectrics, dynamic equilibrium behaviors determine overall performance. Herein, comprehensive summary is presented to elucidate dielectric transport mechanism tribo‐dielectric material modification principle toward The contact electrification started first, followed by introducing basic Subsequently, mechanisms strategies highlighted regarding physical/chemical, surface/bulk, coupling, structure optimization. Furthermore, representative applications based TENGs power sources, sensors demonstrated. existing challenges potential opportunities advanced outlined, guiding design, fabrication, materials.

Language: Английский

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Implantable Triboelectric Nanogenerators for Self‐Powered Cardiovascular Healthcare

Small, Journal Year: 2023, Volume and Issue: 19(51)

Published: Feb. 9, 2023

Abstract Triboelectric nanogenerators (TENGs) have gained significant traction in recent years the bioengineering community. With potential for expansive applications biomedical use, many individuals and research groups furthered their studies on topic, order to gain an understanding of how TENGs can contribute healthcare. More specifically, there been a number focusing implantable triboelectric (I‐TENGs) toward self‐powered cardiac systems In this review, progression cardiovascular healthcare, including monitoring devices, therapeutic power sources pacemakers, will be systematically reviewed. Long‐term expectations these TENG devices through biocompatibility other utilization strategies also discussed.

Language: Английский

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Soft Electronics for Health Monitoring Assisted by Machine Learning

Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 15(1)

Published: March 15, 2023

Abstract Due to the development of novel materials, past two decades have witnessed rapid advances soft electronics. The electronics huge potential in physical sign monitoring and health care. One important advantages is forming good interface with skin, which can increase user scale improve signal quality. Therefore, it easy build specific dataset, performance machine learning algorithm. At same time, assistance algorithm, become more intelligent realize real-time analysis diagnosis. machining algorithms complement each other very well. It indubitable that will bring us a healthier world near future. this review, we give careful introduction about new material, physiological detected by devices, devices assisted Some materials be discussed such as two-dimensional carbon nanotube, nanowire, nanomesh, hydrogel. Then, sensors according types (pulse, respiration, human motion, intraocular pressure, phonation, etc.). After that, various reviewed, including some classical powerful neural network algorithms. Especially, device introduced carefully. Finally, outlook, challenge, conclusion system powered algorithm discussed.

Language: Английский

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