In‐Sensor Tactile Fusion and Logic for Accurate Intention Recognition

Advanced Materials, Год журнала: 2024, Номер 36(35)

Опубликована: Июль 5, 2024

Touch control intention recognition is an important direction for the future development of human-machine interactions (HMIs). However, implementation parallel-sensing functional modules generally requires a combination different logical blocks and circuits, which results in regional redundancy, redundant data, low efficiency. Here, location-and-pressure intelligent tactile sensor (LPI sensor) unprecedentedly combined with sensing, computing, logic proposed, enabling efficient ultrahigh-resolution action-intention interaction. The LPI eliminates need data transfer among units through core integration design layered structure. It actuates in-sensor perception feature transmission, fusion, differentiation, thereby revolutionizing traditional von Neumann architecture. While greatly simplifying dimensionality, achieves outstanding resolution sensing both location (<400 µm) pressure (75 Pa). Synchronous fusion decoding support high-fidelity action combinatorial intentions. Benefiting from synergy, demonstrates robust privacy as encrypted password device interaction intelligence enhancement. can recognize continuous touch actions real time, map intentions to target events, promote accurate intention-driven HMIs.

Язык: Английский

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Neural Network-Assisted Carbon Nanotube Hydrogel-Based Dual-modal Sensors for Material Perception

Journal of Alloys and Compounds, Год журнала: 2025, Номер unknown, С. 178534 - 178534

Опубликована: Янв. 1, 2025

Язык: Английский

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Body temperature-triggered adhesive ionic conductive hydrogels for bioelectrical signal monitoring

Chemical Engineering Journal, Год журнала: 2024, Номер 498, С. 155195 - 155195

Опубликована: Авг. 27, 2024

Язык: Английский

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Filiform Papillae‐Inspired Wearable Pressure Sensor with High Sensitivity and Wide Detection Range

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Окт. 28, 2024

Abstract Flexible pressure sensor (FPS) has promising applications in fields like health monitoring and human–machine interactions. The achieving of both high sensitivity wide detection range FPS remains highly challenging. Here, inspired by the filiform papillae on cat tongue, a (noted as p ) with up to 504.5 kPa −1 , from 30 Pa 350 kPa, fast response time 83 ms, stability over 8000 cycles is developed. papilla‐like structure continuously shifts location stress concentration under increasing pressure, which avoids accumulation at tips, resulting range. Moreover, demonstrates capabilities human physiological signals movement status can serve human‐machine interaction interface. work not only presents wearable but also establishes design strategy for high‐performance bioelectronics.

Язык: Английский

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Ultrasensitive and Wide-Range MXene/PDMS Piezoresistive Sensors Inspired by Rose Petals

Nano Energy, Год журнала: 2024, Номер unknown, С. 110285 - 110285

Опубликована: Сен. 1, 2024

Язык: Английский

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Bionic Recognition Technologies Inspired by Biological Mechanosensory Systems

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

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Intelligent Robotic Sensory System with Epidermis‐Dermis Bionic Electronic Skin for Autonomous Hardness/Softness‐Based Material Perception

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Abstract Traditional electronic skin (e‐skin), due to the lack of human‐skin‐like complex sensitive structures and their derived autonomous perception decision‐making capabilities tactile nervous system, makes it difficult achieve performance deep‐level intelligence comparable human skin. Herein, a soft/hardware‐synergy‐motivated epidermis‐dermis bionic (EDB) e‐skin is proposed, inspired by interlaced papillary projections between epidermis dermis. Benefiting from interlocked microdome iontronic effect, EDB exhibits maximum sensitivity 1558.3 kPa −1 (<1 kPa), low limit detection <0.01 Pa, fast response/recovery time <5.6 ms. In addition, feasibility hardness/softness‐based material technology verified through test results COMSOL finite element analysis. Further, after being equipped with “tactile system”, that is, hardware functional modules terminal artificial neural networks, an intelligent robotic sensory system integrated fingertips developed. With single touch, this can autonomously in real‐time perceive different materials, achieving abilities those humans.

Язык: Английский

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An All‐in‐One Array of Pressure Sensors and sEMG Electrodes for Scoliosis Monitoring

Small, Год журнала: 2024, Номер 20(46)

Опубликована: Авг. 8, 2024

Abstract Scoliosis often occurs in adolescents and seriously affects physical development health. Traditionally, medical imaging is the most common means of evaluating corrective effect bracing during treatment. However, approach falls short providing real‐time feedback, optimal force remains unclear, potentially slowing patient's recovery progress. To tackle these challenges, an all‐in‐one integrated array pressure sensors sEMG electrodes based on hierarchical MXene/chitosan/polydimethylsiloxane (PDMS)/polyurethane sponge MXene/polyimide (PI) developed. Benefiting from microstructured modulus enhancement PDMS, sensor demonstrates a high sensitivity 444.3 kPa −1 broad linear detection range (up to 81.6 kPa). With help electrostatic attraction chitosan interface locking achieves remarkable stability over 100 000 cycles. Simultaneously, offer exceptional stretchability flexibility, functioning effectively at 60% strain, which ensures precise signal capture for various human motions. After integrating developed arrays into commercial scoliosis brace, system can accurately categorize motion predict Cobb angles aided by deep learning. This study provides insights brace effectiveness patient progress, offering new ideas improving efficiency

Язык: Английский

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Constructing the 3D Interconnected Conductive MXene-Cellulose Scaffold to Boosting the Piezoresistive Sensing Capability

ACS Applied Electronic Materials, Год журнала: 2024, Номер 6(9), С. 6785 - 6792

Опубликована: Авг. 21, 2024

Flexible pressure sensors play a vital role in advancing wearable electronics by enabling precise health monitoring, human-machine interfaces, and environmental sensing. MXene-based piezoresistive have garnered significant attention due to their exceptional electromechanical properties. However, enhancing performance ensuring sustainability simultaneously still remain critical challenge. In this study, we prepared hydroxyl-rich deacetylated cellulose acetate (DCA) fibers attached MXene the surface form three-dimensionally interconnected conductive network. Taking advantage of typical micromorphology turn high electrical conductivity modulation, resulting MXene/DCA (MDCA) flexible exhibited exceptionally sensitivity (54.62 kPa–1), excellent linearity range 0–40 kPa (R2 = 0.998), fast response/recovery time (154/125 ms), outstanding long-term durability over 10 000 compression cycles at 12.37 without degradation. This study offers promising insights into development high-performance, environmentally friendly sensors.

Язык: Английский

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Dynamic Bonding for In‐Situ Welding of Multilayer Elastomers Enables High‐Performance Wearable Electronics for Machine Learning‐Assisted Active Rehabilitation

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Abstract Patients with hand dysfunction require joint rehabilitation for functional restoration, and wearable electronics can provide physical signals to assess guide the process. However, most are susceptible failure under large deformations owing instability in layered structure, thereby weakening signal reliability. Herein, an in‐situ self‐welding strategy that uses dynamic hydrogen bonds at interfaces integrate conductive elastomer layers into highly robust is proposed. This enables interlocking of different microstructures, achieving high interfacial toughness (e.g., ≈700 J m −2 micropyramid layer smallest welding areas) preventing structural failure. The welded exhibit excellent pressure‐sensing performance, including sensitivity, a wide sensing range, long‐term stability, surpassing those unwelded electronics. reliable collection comprehensive pressure during rehabilitation, which beneficial assessing levels patient. Furthermore, machine learning‐assisted system using t ‐distributed stochastic neighbor embedding artificial neural network models facilitate home‐based active established, reduces need frequent hospital visits. analyzes quantifies timely manner, allowing patients adjust training programs autonomously, accelerating

Язык: Английский

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