Machine Learning‐Enabled Tactile Sensor Design for Dynamic Touch Decoding

Advanced Science, Journal Year: 2023, Volume and Issue: 10(32)

Published: Sept. 22, 2023

Abstract Skin‐like flexible sensors play vital roles in healthcare and human–machine interactions. However, general goals focus on pursuing intrinsic static dynamic performance of skin‐like themselves accompanied with diverse trial‐and‐error attempts. Such a forward strategy almost isolates the design from resulting applications. Here, machine learning (ML)‐guided tactile sensor system is reported, enabling high classification accuracy (≈99.58%) perception six touch modalities. Different intuition‐driven design, such ML‐guided optimization realized by introducing support vector machine‐based ML algorithm along specific statistical criteria for fabrication parameters selection to excavate features deeply concealed raw sensing data. This inverse merges into phase hardware, bridging gap between device structures algorithms. Using optimized sensor, high‐quality recognizable signals handwriting applications are obtained. Besides, additional data processing, robot hand assembled able complete real‐time touch‐decoding an 11‐digit braille phone number accuracy.

Language: Английский

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Toward an AI Era: Advances in Electronic Skins

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(17), P. 9899 - 9948

Published: Aug. 28, 2024

Electronic skins (e-skins) have seen intense research and rapid development in the past two decades. To mimic capabilities of human skin, a multitude flexible/stretchable sensors that detect physiological environmental signals been designed integrated into functional systems. Recently, researchers increasingly deployed machine learning other artificial intelligence (AI) technologies to neural system for processing analysis sensory data collected by e-skins. Integrating AI has potential enable advanced applications robotics, healthcare, human–machine interfaces but also presents challenges such as diversity model robustness. In this review, we first summarize functions features e-skins, followed feature extraction different models. Next, discuss utilization design e-skin address key topic implementation e-skins accomplish range tasks. Subsequently, explore hardware-layer in-skin before concluding with an opportunities various aspects AI-enabled

Language: Английский

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Extremely compact and lightweight triboelectric nanogenerator for spacecraft flywheel system health monitoring

Nano Energy, Journal Year: 2024, Volume and Issue: 122, P. 109330 - 109330

Published: Jan. 24, 2024

Language: Английский

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Convolutional Neural Networks‐Motivated High‐Performance Multi‐Functional Electronic Skin for Intelligent Human‐Computer Interaction

Nano Energy, Journal Year: 2024, Volume and Issue: 122, P. 109313 - 109313

Published: Jan. 20, 2024

Language: Английский

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Recent Progress on Flexible Self‐Powered Tactile Sensing Platforms for Health Monitoring and Robotics

Small, Journal Year: 2024, Volume and Issue: 20(46)

Published: Aug. 11, 2024

Abstract Over the past decades, tactile sensing technology has made significant advances in fields of health monitoring and robotics. Compared to conventional sensors, self‐powered sensors do not require an external power source drive, which makes entire system more flexible lightweight. Therefore, they are excellent candidates for mimicking perception functions wearable ideal electronic skin (e‐skin) intelligent robots. Herein, working principles, materials, device fabrication strategies various platforms introduced first. Then their applications robotics presented. Finally, future prospects systems discussed.

Language: Английский

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Flexible tactile sensors with biomimetic microstructures: Mechanisms, fabrication, and applications

Advances in Colloid and Interface Science, Journal Year: 2023, Volume and Issue: 320, P. 102988 - 102988

Published: Aug. 28, 2023

Language: Английский

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Recent Progress in Wearable Self‐Powered Biomechanical Sensors: Mechanisms and Applications

Advanced Materials Technologies, Journal Year: 2024, Volume and Issue: 9(21)

Published: Feb. 7, 2024

Abstract Biomechanical signals, such as strain variations of the skin, vibrations chest and throat, well motions limbs, hold immense significance in healthcare monitoring, disease diagnosis, human‐machine interface. Examples span from monitoring blood pressure pulse waves for atherosclerosis to distinguishing between metatarsalgia patients healthy individuals by tracking their walking postures, voiceprint recognition hearing aid technology based on vibration sensing. Wearable biomechanical sensors play a crucial role providing valuable insights into one's health condition physiological features. However, development high‐performance capable prolonged poses challenges. Traditional batteries have limited lifespan pose difficulty replacement. Using self‐powered devices measurement signals represents an attractive solution tackle issues caused batteries. This review focuses mechanisms wearable sensors, delves recent advancements applications, covering areas cardiovascular system acoustic detection, human motion tracking, many others associated with biomechanics. A concluding section outlines potential future prospects this evolving field materials biomedical research.

Language: Английский

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Bionic Spider Web Flexible Strain Sensor Based on CF-L and Machine Learning

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: unknown

Published: April 29, 2024

At present, the preparation of laser-induced graphene (LIG) has become an important technology in sensor manufacturing. In conventional process, CO2 laser is widely used; however, its experimental period long and efficiency needs to be improved. We propose innovative strategy improve efficiency. use machine learning method accurately predict parameters LIG, so as optimize process. Different structures can lead different performances. The structure constructed by rough a large size, which affect performance sensor. Therefore, we for first time intramembrane construction that combines advantages fiber (CF-L). With this CF-L method, have successfully prepared biomimetic, flexible strain This not only maintains high degree sensitivity, but also more refined optimized structure. manufacturing process whole simple, economical, durable quantities used detect extension bending human joints.

Language: Английский

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Structure‐Foldable and Performance‐Tailorable PI Paper‐Based Triboelectric Nanogenerators Processed and Controlled by Laser‐Induced Graphene

Advanced Science, Journal Year: 2024, Volume and Issue: 11(28)

Published: May 15, 2024

Abstract Laser‐induced graphene (LIG) technology has provided a new manufacturing strategy for the rapid and scalable assembling of triboelectric nanogenerators (TENG). However, current LIG‐based TENG commonly rely on polymer films, e.g., polyimide (PI) as both friction material carbon precursor electrodes, which limit structural diversity performance escalation due to its incapability folding creasing. Using specialized PI paper composed randomly distributed fibers substantially enhance foldability, this work creates type TENG, are structurally foldable stackable, tailorable. First, by systematically investigating laser power‐regulated single‐unit open‐circuit voltage can be effectively improved. By further exploiting process, multiple units assembled together form multi‐layered structures continuously expand from 5.3 34.4 V cm −2 , increase 1 16. Last, fully utilizing unique structure performance, representative energy‐harvesting smart‐sensing applications demonstrated, including smart shoe recognize running motions power LEDs, leaf thermometer wind, matrix sensor writing trajectories, well glove different objects.

Language: Английский

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A review of ultrafast laser micro/nano fabrication: Material processing, surface/interface controlling, and devices fabrication

Nano Research, Journal Year: 2024, Volume and Issue: 17(7), P. 6212 - 6230

Published: May 18, 2024

Language: Английский

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