Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

Nano-Micro Letters, Год журнала: 2023, Номер 16(1)

Опубликована: Ноя. 13, 2023

The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in intelligentialize human society. As an essential component that bridges physical world and digital signals, flexible sensors are evolving from a single sensing element to smarter system, which is capable highly efficient acquisition, analysis, even perception vast, multifaceted data. While challenging manual perspective, development intelligent been remarkably facilitated owing rapid advances brain-inspired AI innovations both algorithm (machine learning) framework (artificial synapses) level. This review presents progress emerging AI-driven, systems. basic concept machine learning synapses introduced. new enabling features induced by fusion comprehensively reviewed, significantly applications such as sensory systems, soft/humanoid robotics, activity monitoring. two most profound twenty-first century, deep incorporation technology holds tremendous potential for creating beings.

Язык: Английский

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A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse

BioMedInformatics, Год журнала: 2023, Номер 3(3), С. 563 - 584

Опубликована: Июль 21, 2023

Digital twins (DTs) are becoming increasingly popular in various industries, and their potential for healthcare the metaverse continues to attract attention. The is a virtual world where individuals interact with digital replicas of themselves environment. This paper focuses on personalized precise medicine examines current application DTs within metaverse. Healthcare practitioners may use immersive worlds replicate medical scenarios, improve teaching experiences, provide care patients. However, integration poses technical, regulatory, ethical challenges that need be addressed, including data privacy, standards, accessibility. Through this examination, we aim insights into transformative encourage further research development exciting domain.

Язык: Английский

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Applications of Graphene in Five Senses, Nervous System, and Artificial Muscles

ACS Sensors, Год журнала: 2023, Номер 8(2), С. 482 - 514

Опубликована: Янв. 19, 2023

Graphene remains of great interest in biomedical applications because biocompatibility. Diseases relating to human senses interfere with life satisfaction and happiness. Therefore, the restoration by artificial organs or sensory devices may bring a bright future recovery patients. In this review, we update most recent progress graphene based sensors for mimicking such as retina image sensors, eardrums, gas chemical tactile sensors. The brain-like processors are discussed on conventional transistors well memristor related neuromorphic computing. brain–machine interface is introduced providing single pathway. Besides, muscles summarized means actuators order react physical world. Future opportunities remain elevating performances human-like their clinical applications.

Язык: Английский

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Durable superhydrophobic surface in wearable sensors: From nature to application

Exploration, Год журнала: 2023, Номер 4(2)

Опубликована: Ноя. 8, 2023

Abstract The current generation of wearable sensors often experiences signal interference and external corrosion, leading to device degradation failure. To address these challenges, the biomimetic superhydrophobic approach has been developed, which offers self‐cleaning, low adhesion, corrosion resistance, anti‐interference, other properties. Such surfaces possess hierarchical nanostructures surface energy, resulting in a smaller contact area with skin or environment. Liquid droplets can even become suspended outside flexible electronics, reducing risk pollution interference, contributes long‐term stability complex environments. Additionally, coupling electronics potentially enhance performance due their large specific energy. However, fragility layered textures various scenarios lack standardized evaluation testing methods limit industrial production sensors. This review provides an overview recent research on sensors, including fabrication methodology, evaluation, application targets. processing, performance, characteristics are discussed, as well working mechanisms potential challenges electronics. Moreover, strategies for application‐oriented presented.

Язык: Английский

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Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications

National Science Review, Год журнала: 2023, Номер 11(2)

Опубликована: Ноя. 27, 2023

ABSTRACT Soft electromechanical sensors have led to a new paradigm of electronic devices for novel motion-based wearable applications in our daily lives. However, the vast amount random and unidentified signals generated by complex body motions has hindered precise recognition practical application this technology. Recent advancements artificial-intelligence technology enabled significant strides extracting features from massive intricate data sets, thereby presenting breakthrough utilizing applications. Beyond traditional machine-learning techniques classifying simple gestures, advanced algorithms been developed handle more nuanced tasks with restricted training sets. Machine-learning improved ability perceive, thus machine-learned soft accurate rapid human-gesture recognition, providing real-time feedback users. This forms crucial component future electronics, contributing robust human–machine interface. In review, we provide comprehensive summary covering materials, structures hand-gesture possible through sensors.

Язык: Английский

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Recent developments in wearable breath sensors for healthcare monitoring

Communications Materials, Год журнала: 2024, Номер 5(1)

Опубликована: Март 20, 2024

Abstract Within the breath lie numerous health indicators, encompassing respiratory patterns and biomarkers extending beyond conditions to cardiovascular health. Recently, emergence of SARS-CoV-2 pandemic has not only underscored necessity on-the-spot analysis but also normalized use masks in everyday life. Simultaneously, rapid evolution wearable technology given rise innovative healthcare monitoring tools, with a specific emphasis on sensors. This review explores current research trends utilizing breathing sensors detect diverse monitor parameters, including airflow, temperature, humidity. Additionally, it applications, ranging from recognizing swiftly detecting diseases. Integrating Internet Things machine learning technologies into these applications highlights their potential offer personalized, accurate, efficient solution.

Язык: Английский

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Decoupled Temperature–Pressure Sensing System for Deep Learning Assisted Human–Machine Interaction

Advanced Functional Materials, Год журнала: 2024, Номер 34(52)

Опубликована: Авг. 20, 2024

Abstract With the rapid development of intelligent wearable technology, multimodal tactile sensors capable data acquisition, decoupling intermixed signals, and information processing have attracted increasing attention. Herein, a decoupled temperature–pressure dual‐mode sensor is developed based on single‐walled carbon nanotubes (SWCNT) poly(3,4‐ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS) decorated porous melamine foam (MF), integrating with deep learning algorithm to obtain input terminal. Importantly, synergistic effect PEDOT:PSS SWCNT facilitates ideal capability sensitivity toward both temperature (38.2 µV K −1 ) pressure (10.8% kPa thermoelectric piezoresistive effects, respectively. Besides, low thermal conductivity excellent compressibility MF also endow it merits low‐temperature detection limit (0.03 K), fast response (120 ms), long‐term stability. Benefiting from outstanding sensing characteristics, assembled array showcases good capacity for identifying spatial distribution signals. assistance algorithm, displays high recognition accuracy 99% 98% corresponding “touch” “press” actions, respectively, realizes encrypted transmission accurate identification random sequences, providing promising strategy design high‐accuracy platform in human–machine interaction.

Язык: Английский

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Empowerment of AI algorithms in biochemical sensors

TrAC Trends in Analytical Chemistry, Год журнала: 2024, Номер 173, С. 117613 - 117613

Опубликована: Фев. 29, 2024

Язык: Английский

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Programmable and Scalable Embroidery Textile Resistive Pressure Sensors for Integrated Multifunctional Smart Wearable Systems

Advanced Fiber Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 7, 2025

Язык: Английский

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Microphase‐Separated Elastic and Ultrastretchable Ionogel for Reliable Ionic Skin with Multimodal Sensation

Advanced Materials, Год журнала: 2023, Номер 36(17)

Опубликована: Ноя. 23, 2023

Bioinspired artificial skins integrated with reliable human-machine interfaces and stretchable electronic systems have attracted considerable attention. However, the current design faces difficulties in simultaneously achieving satisfactory skin-like mechanical compliance self-powered multimodal sensing. Here, this work reports a microphase-separated bicontinuous ionogel which possesses properties mimics sensing ability of biological skin by ion-driven stimuli-electricity conversion. The exhibits excellent elasticity ionic conductivity, high toughness, ultrastretchability, as well Young's modulus similar to that human skin. Leveraging ion-polymer interactions enabled selective ion transport, can output pulsing or continuous electrical signals response diverse stimuli such strain, touch pressure, temperature sensitively, demonstrating unique Furthermore, ionogel-based I-skin concurrently sense different decouple variations from voltage assistance machine-learning model. ease fabrication, wide tunability, sensing, environmental tolerance ionogels demonstrate new strategy development next-generation soft smart mechano-transduction devices.

Язык: Английский

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