Innovations in Tactile Sensing: Microstructural Designs for Superior Flexible Sensor Performance

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(44)

Published: June 22, 2024

Abstract Tactile sensors have garnered considerable interest for their capacity to detect and quantify tactile information. The incorporation of microstructural designs into flexible has emerged as a potent strategy augment sensitivity pressure variations, thereby enhancing linearity, response spectrum, mechanical robustness. This review underscores the imperative progress in microstructured sensors. Subsequently, discourse transitions prevalent materials employed fabrication sensor electrodes, encapsulation layers, active sensing mediums, elucidating merits limitations. In‐depth discussions are devoted adorned with microstructures, including but not limited to, micropyramids, microhemispheres, micropillars, microporous configurations, microcracks, topological interconnections, multilevel constructs, random roughness, biomimetic microstructures inspired by flora fauna, accompanied exemplar studies from each category. Moreover, utility within realm intelligent environments is explicated, highlighting application monitoring physiological signals, detection sliding motions, discernment surface textures. culminates critical examination paramount challenges predicaments that must be surmounted further development enhance functional performance sensors, paving way integration advanced sensory systems.

Language: Английский

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Advances in Machine Learning for Wearable Sensors

ACS Nano, Journal Year: 2024, Volume and Issue: 18(34), P. 22734 - 22751

Published: Aug. 15, 2024

Recent years have witnessed tremendous advances in machine learning techniques for wearable sensors and bioelectronics, which play an essential role real-time sensing data analysis to provide clinical-grade information personalized healthcare. To this end, supervised unsupervised algorithms emerged as powerful tools, allowing the detection of complex patterns relationships large, high-dimensional sets. In Review, we aim delineate latest advancements sensors, focusing on key developments algorithmic techniques, applications, challenges intrinsic evolving landscape. Additionally, highlight potential machine-learning approaches enhance accuracy, reliability, interpretability sensor discuss opportunities limitations emerging field. Ultimately, our work aims a roadmap future research endeavors exciting rapidly area.

Language: Английский

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A Programmable Electronic Skin with Event‐Driven In‐Sensor Touch Differential and Decision‐Making

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 12, 2024

Abstract High‐precise, crosstalk‐free tactile perception offers an intuitive way for informative human‐machine interactions. However, the differentiation and labeling of touch position strength require substantial computational space due to cumbersome post‐processing parallel data. Herein, a programmable robust electronic skin (PR e‐skin) with event‐driven in‐sensor differential perception, solving inherent defects in von Neumann framework is introduced. The PR e‐skin realizes feature simplification reduction data transmission by integrating computing into sensing terminals. Furthermore, functional mode further greatly compresses untriggered redundant Benefiting from minimal concise dataset, can directly differentiate pressure swift response time (<0.3 ms). Robust carbon film ensures long‐term stable implementation (>10 000 cycles) architectural feature. In designable, continuous detection extensive range (210 kPa), which improvement 5.5 times, ultra‐sensitive extract trajectory sliding or rapping actions. Moreover, combined customized neural network, dual‐encryption recognition system constructed based on slide action, reaching high accuracy ≈98%, reveals great potential intelligent interaction security.

Language: Английский

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Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(2), P. 203 - 203

Published: Feb. 13, 2024

This review investigates the convergence of artificial intelligence (AI) and personalized health monitoring through wearable devices, classifying them into three distinct categories: bio-electrical, bio-impedance electro-chemical, electro-mechanical. Wearable devices have emerged as promising tools for monitoring, utilizing machine learning to distill meaningful insights from expansive datasets they capture. Within bio-electrical category, these employ biosignal data, such electrocardiograms (ECGs), electromyograms (EMGs), electroencephalograms (EEGs), etc., monitor assess health. The electro-chemical category focuses on measuring physiological signals, including glucose levels electrolytes, offering a holistic understanding wearer’s state. Lastly, electro-mechanical encompasses designed capture motion physical activity providing valuable an individual’s behavior. critically evaluates integration algorithms within illuminating their potential revolutionize healthcare. Emphasizing early detection, timely intervention, provision lifestyle recommendations, paper outlines how amalgamation advanced techniques with can pave way more effective individualized healthcare solutions. exploration this intersection promises paradigm shift, heralding new era in innovation well-being.

Language: Английский

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3D Heterogeneous Sensing System for Multimode Parrallel Signal No‐Spatiotemporal Misalignment Recognition

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

Published: Dec. 11, 2024

The spatiotemporal error caused by planar tiled structure design and the waste of communication resources brought on transmission a single channel are two challenges facing development multifunctional intelligent sensors with high-density integration. A homo-spatiotemporal multisensory parallel system (HMPTs) is expanded to realize multisignal no-spatiotemporal misalignment recognition efficient transmission. First, this optimizes distribution sensors, completes 3D vertical heterogeneous layout four achieves material multi-information detection at place deviation. Additionally, couples transmittes multiple sensory signals, delivering fourfold increase in efficiency one-third power consumption compared single-channel system. Finally, used for mixed materials, human-computer interaction assignment materials VR, demonstrating great accuracy HMPTs as well its feasibility practical application. This an priori effort enhance machine perception accuracy, improve signal effectiveness, advance human-machine-object triadic

Language: Английский

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Quasi‐Homogeneous Integrated Strain Vector Sensors for Natural Human–Machine Interaction

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

Published: Feb. 2, 2025

Abstract Body motion capture is a vital approach that underpins natural human–machine interaction. Strain sensors can detect both amplitude and direction are the basis for discerning interactive intent. However, most strain with heterogeneous architecture fail to perceive accurately. Here, quasi‐homogeneous integrated vector constructed by vertically stacking elastomer meshes different fiber orientations in order. By varying orientation, proportion of intrinsic elastic structural deformation mesh be adjusted, achieving effective regulation its electromechanical properties. A highly anisotropic unidirectional fibers customized, enabling stretch simultaneously. Notably, demonstrate minimum directional resolution 2° linear working range up 100% strain. The tough bonding between interlayers ensures high robustness even after 10 000 loading cycles. Moreover, wearable 3D system built acquire comprehensive data regarding motions, including amplitudes, directions, modes, visually synchronize them virtual reality. Natural interaction achieved intuitively effortlessly altering amplitudes directions. This work provides an alternative insight immersive future.

Language: Английский

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A deep learning–enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(7)

Published: Feb. 11, 2025

In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality preventing chronic conditions. However, the requirements device–skin coupling in electrophysiological systems hinder comfort reliability night wearing. Here, we report a washable, skin-compatible garment system that captures local skin strain signals under weak without positioning or preparation requirements. A printed textile-based sensor array responds to from 0.1 10% with gauge factor as high 100 shows independence extrinsic motion artifacts via strain-isolating pattern design. Through reversible starching treatment, ink penetration depth during direct printing on garments is controlled achieve batch-to-batch performance variation <10%. Coupled deep learning, explainable AI, transfer learning data processing, capable classifying six states an accuracy 98.6%, maintaining excellent explainability (classification low bias) generalization (95% new users few-shot less than 15 samples per class) practical applications, paving way next-generation daily healthcare management.

Language: Английский

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Recent Advances in Smart Fabric-Type Wearable Electronics toward Comfortable Wearing

Energies, Journal Year: 2024, Volume and Issue: 17(11), P. 2627 - 2627

Published: May 29, 2024

With the improvement of energy density and sensing accuracy wearable devices, there is increasing interest in applying electronics daily life. However, traditional rigid plate-structured devices cannot meet human body’s wearing habits make users may feel uncomfortable after them for a long time. Fabric-type can be conformably coated on skin without discomfort from mismatches mechanical properties between body electronics. Although state-of-the-art textile-based have shown unique advantages field e-textiles, real-world scenarios often involve stretching, bending, wetting. Further efforts should made to achieve “comfortable wearing” due great challenge achieving both promising electrical comfort single device. This review presents comprehensive overview advances smart fabric-based toward comfortable wearing, emphasizing their stretchability, hydrophobicity, air permeability, stability, color-change abilities. Through addressing challenges that persist fabric-type electronics, we are optimistic these will soon ubiquitous our lives, offering exceptionally experiences health monitoring, sports performance tracking, even fashion, paving way more technologically advanced future.

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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Recent advances in passive cooling materials for thermal management in flexible electronics

Journal of Materials Chemistry C, Journal Year: 2024, Volume and Issue: 12(32), P. 12179 - 12206

Published: Jan. 1, 2024

Flexible electronics has been widely recognized as the future of for a broad range applications, which is also foundation wearable devices that can go or even seamlessly integrate with human skin.

Language: Английский

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