Intelligent Wind Vector Monitoring System Based on Wind Energy Harvesting

ACS Applied Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Wind conditions are crucial in agricultural production, and wind vectors play a significant role planting plans. However, traditional anemometers rely on external power sources such as lithium batteries, while energy farmlands is usually neglected. This paper proposes an intelligent vector monitoring system based dual-module triboelectric nanogenerator (DM-TENG), which consists of fan-blade type soft-contact (FBTSC-TENG) disc-shaped (DS-TENG). FBTSC-TENG collects the environment to temperature humidity sensors, determining speed through frequency voltage pulses. DS-TENG can monitor direction, identifying 8 directions output pulse signals deep learning algorithms. Therefore, DM-TENG proposed this study expected field smart agriculture future.

Language: Английский

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Highly sensitive and robust soft tri-axial tactile sensors enabled by dual inductive sensing mechanismss

Soft Science, Journal Year: 2025, Volume and Issue: 5(1)

Published: Jan. 18, 2025

Tri-axial tactile sensors that provide real-time information on both normal and shear forces are enabling technologies for perception, which open up new possibilities in robotics, human-machine interfaces, environmental sensing, health monitoring. Among tri-axial based different mechanisms, inductive possess good robustness against contamination. Their low sensitivity to loads, however, is a critical barrier. This work presents the rational design of soft capable distinguishing static or dynamic with exceptional sensitivity. Dual mechanisms Biot-Savart law Eddy current effect explored overcome long-standing issue. In addition, hybrid coil non-uniform spacing designed generate uniform magnetic fields, addressing limitations traditional coils significantly improving sensor’s The picosecond pulsed laser scribing technique makes it possible pattern silver nanowires into high fidelity. A porous compressible layer adopted enable adjustable sensing range meet diverse application demands. Finally, sensor integrated between user’s leg orthosis, showcasing capability monitoring its objects.

Language: Английский

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Multifunctional PVA/PNIPAM conductive hydrogel sensors enabled human-machine interaction intelligent rehabilitation training

Advanced Composites and Hybrid Materials, Journal Year: 2024, Volume and Issue: 7(6)

Published: Nov. 18, 2024

Language: Английский

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Triboelectric‐Inertial Sensing Glove Enhanced by Charge‐Retained Strategy for Human‐Machine Interaction

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 22, 2024

Abstract As technology advances, human‐machine interaction (HMI) demands more intuitive and natural methods. To meet this demand, smart gloves, capable of capturing intricate hand movements, are emerging as vital HMI tools. Moreover, triboelectric‐based sensors, with their self‐powered, cost‐effective, material various characteristics, can offer promising solutions for enhancing existing glove systems. However, a key limitation these sensors is that charge leakage in the measurement circuit results only transient signals, rather than continuous changes. address issue, charge‐retained effectively prevents triboelectric signal attenuation developed, enabling accurate finger movements. This innovation forms foundation highly integrated system, functionality by combining signals inertial sensor data. The system showcases diverse range applications, including complex robotic control, virtual reality interaction, home lighting adjustments, interface operations. Furthermore, leveraging artificial intelligence (AI) techniques, achieves recognition sign language an impressive 99.38% accuracy. work presents approach sensing offering valuable insights developing future multifunctional proposed its dual‐mode AI integration, holds great potential revolutionizing domains user experiences.

Language: Английский

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Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

With the increasing development of metaverse and human-computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual reality (VR) environments are receiving significant attention. This study presents a self-sensing facial recognition mask (FRM) utilizing triboelectric nanogenerators (TENG) machine learning algorithms to enhance user immersion interaction. Various TENG negative electrode materials evaluated improve sensor performance, efficacy single is confirmed. For accurate movement emotion detection, different assessed, leading selection an advanced data processing method with two-layer long short-term memory model, which achieves 99.87% accuracy. The practical FRM system reality, including psychotherapy HMI scenarios, validated through mathematical models. Additionally, digital twin-based monitoring platform developed using 5G, database, visualization technologies oversee status. Overall, these innovative approaches overcome limitations existing face environmental interference high cost, compared other technologies.

Language: Английский

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Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Abstract Mechanical information is a medium for perceptual interaction and health monitoring of organisms or intelligent mechanical equipment, including force, vibration, sound, flow. Researchers are increasingly deploying recognition technologies (MIRT) that integrate acquisition, pre‐processing, processing functions expected to enable advanced applications. However, this also poses significant challenges acquisition performance efficiency. The novel exciting mechanosensory systems in nature have inspired us develop superior bionic (MIBRT) based on materials, structures, devices address these challenges. Herein, first strategies pre‐processing presented their importance high‐performance highlighted. Subsequently, design considerations sensors by mechanoreceptors described. Then, the concepts neuromorphic summarized order replicate biological nervous system. Additionally, ability MIBRT investigated recognize basic information. Furthermore, further potential applications robots, healthcare, virtual reality explored with view solve range complex tasks. Finally, future opportunities identified from multiple perspectives.

Language: Английский

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Soft Pressure Sensor Array Inspired by Human Skin for Detecting 3D Robotic Movement

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: 17(9), P. 14604 - 14614

Published: Feb. 19, 2025

3D soft pressure sensors play an important role in precise robotic operations. Multimodal that detect both static and dynamic allow robots to respond accurately real time. Here, we present a sensor array with size of 1.5 cm × composed capacitive piezoelectric units, inspired by Merkel cells Vater-Pacini corpuscles human skin. The tangential force from 0.1 2 N at angles 0°, 45°, 180°, 225° can be resolved analyzing the signals 16 sensors. 4 exhibit consistent stable performance when sensing normal forces 0.5 N. weight objects, as well direction grasping, effectively distinguish weight, size, grasping objects integrated on gripper. Running walking movements are recognized attached robot's knee.

Language: Английский

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Self‐Powered Artificial Neuron Devices: Towards the All‐In‐One Perception and Computation System

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Abstract The increasing demand for energy supply in sensing units and the computational efficiency of computation has prompted researchers to explore novel, integrated technology that offers high low consumption. Self‐powered enables environmental perception without external sources, while neuromorphic provides energy‐efficient high‐performance computing capabilities. integration self‐powered presents a promising solution an all‐in‐one system. This review examines recent developments advancements artificial neuron devices based on triboelectric, piezoelectric, photoelectric effects, focusing their structures, mechanisms, functions. Furthermore, it compares electrical characteristics various types discusses effective methods enhancing performance. Additionally, this comprehensive summary systems, encompassing tactile, visual, auditory systems. Moreover, elucidates recently systems combine perception, computing, actuation into configurations, aspiring realize closed‐loop control. seamless holds significant potential shaping more intelligent future humanity.

Language: Английский

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Recent Developments and Applications of Tactile Sensors with Biomimetic Microstructures

Biomimetics, Journal Year: 2025, Volume and Issue: 10(3), P. 147 - 147

Published: Feb. 27, 2025

Humans possess an innate ability to perceive a wide range of objects through touch, which allows them interact effectively with their surroundings. Similarly, tactile perception in artificial sensory systems enables the acquisition object properties, human physiological signals, and environmental information. Biomimetic sensors, as emerging sensing technology, draw inspiration from biological exhibit high sensitivity, rapid response, multimodal perception, stability. By mimicking mechanisms microstructures, these sensors achieve precise detection mechanical thereby paving way for advancements applications. This review provides overview key mechanisms, microstructure designs, advanced fabrication techniques biomimetic sensors. The system architecture design is also explored. Furthermore, highlights significant applications recent years, including texture recognition, health detection, human–machine interaction. Finally, challenges future development prospects related are discussed.

Language: Английский

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Dynamically Reversible Filament Networks Enabling Programmable In‐Sensor Memory for High‐Precision Neuromorphic Interactions

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Abstract Embodied intelligent tactile systems represent a groundbreaking paradigm for autonomous agents, facilitating dynamic perception and adaptation in unstructured environments. Traditional von Neumann architectures suffer from inefficiencies due to the separation of sensing memory units, where mechanical relaxation is often overlooked as non‐informative noise rather than utilized computational resource. The transition dynamics stimulation encoding their potential neuromorphic interactions remain largely unexplored. Here, we present transformative breakthrough seamless integration (SMI) within single device through programmable memory. Utilizing polyborosiloxane (PBS) filament networks with dynamically reversible boron‐oxygen hydrogen bonds, design enhances adhesion energy dissipation. It enables pressure‐induced electrically readable states tunable retention times (260 ms 63.9 s) 99.6% linearity, supporting applications, such threshold triggering, biomimetic pain perception, motion recognition. SMI sensor's in‐sensor logic functions facilitate control, while its capabilities enable visualization action‐driven modulation. Additionally, spatiotemporal achieves high‐precision recognition (98.33%) without relying on continuous time‐series data. This work introduces novel mechanism constructing devices, advancing development systems.

Language: Английский

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