Recent advancements in wearable sensors: integration with machine learning for human–machine interaction DOI Creative Commons

Guangrui Mu,

Jianyi Yang, Zhonghong Yan

и другие.

RSC Advances, Год журнала: 2025, Номер 15(10), С. 7844 - 7854

Опубликована: Янв. 1, 2025

Wearable sensors have emerged as a transformative technology, enabling real-time monitoring and advanced functionality in various fields, including healthcare, human–machine interaction, environmental sensing.

Язык: Английский

MXene-Based Chemo-Sensors and Other Sensing Devices DOI Creative Commons
Ilya Navitski,

Agne Ramanaviciute,

Simonas Ramanavičius

и другие.

Nanomaterials, Год журнала: 2024, Номер 14(5), С. 447 - 447

Опубликована: Фев. 28, 2024

MXenes have received worldwide attention across various scientific and technological fields since the first report of synthesis Ti3C2 nanostructures in 2011. The unique characteristics MXenes, such as superior mechanical strength flexibility, liquid-phase processability, tunable surface functionality, high electrical conductivity, ability to customize their properties, led widespread development exploration applications energy storage, electronics, biomedicine, catalysis, environmental technologies. significant growth publications related over past decade highlights extensive research interest this material. One area that has a great potential for improvement through integration is sensor design. Strain sensors, temperature pressure biosensors (both optical electrochemical), gas pollution sensors targeted at volatile organic compounds (VOCs) could all gain numerous improvements from inclusion MXenes. This delves into current landscape, exploring advancements MXene-based chemo-sensor technologies examining future diverse types.

Язык: Английский

Процитировано

19

Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm DOI Creative Commons
Chunhui Xie, Haoke Qiu, Lu Liu

и другие.

SmartMat, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 9, 2025

ABSTRACT Machine learning (ML), material genome, and big data approaches are highly overlapped in their strategies, algorithms, models. They can target various definitions, distributions, correlations of concerned physical parameters given polymer systems, have expanding applications as a new paradigm indispensable to conventional ones. Their inherent advantages building quantitative multivariate largely enhanced the capability scientific understanding discoveries, thus facilitating mechanism exploration, prediction, high‐throughput screening, optimization, rational inverse designs. This article summarizes representative progress recent two decades focusing on design, preparation, application, sustainable development materials based exploration key composition–process–structure–property–performance relationship. The integration both data‐driven insights through ML deepen fundamental discover novel is categorically presented. Despite construction application robust models, strategies algorithms deal with variant tasks science still rapid growth. challenges prospects then We believe that innovation will thrive along approaches, from efficient design applications.

Язык: Английский

Процитировано

6

Highly sensitive, wearable piezoresistive methylcellulose/chitosan@MXene aerogel sensor array for real-time monitoring of physiological signals of pilots DOI

Yilin Zhao,

Bin Li, Mian Zhong

и другие.

Science China Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

3

An All-Solid-State fluorinated Ion-Conductive elastomer with outstanding mechanical properties and high environmental stability for flexible electronics DOI
Zequan Li, Changsheng Wang,

Xueying Duan

и другие.

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 159437 - 159437

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

Highly Sensitive Fiber Pressure Sensors over a Wide Pressure Range Enabled by Resistive-Capacitive Hybrid Response DOI

Xiangyang Qu,

Jing Li,

Zhiliang Han

и другие.

ACS Nano, Год журнала: 2023, Номер 17(15), С. 14904 - 14915

Опубликована: Июль 27, 2023

Soft capacitive pressure sensors with high performance are becoming increasingly in demand the emerging flexible wearable field. While fiber have achieved sensitivity, their sensitivity range is limited to low-pressure levels. As typically require preloading and fixation, this narrow of poses a challenge for practical applications. To overcome limitation, study proposes resistive-capacitive hybrid response (HFPSs) three-layer core–sheath structures. The trigger enhancement mechanisms determined through model analysis experimental verification. By adjustment response, attenuation HFPSs alleviated significantly. obtained results demonstrate that excellent characteristics such as fast low hysteresis, wide frequency, small signal drift, good durability. enhances various With enhanced can effectively monitor pulse signals at preloads ranging from 0 22.7 kPa. This improves fault tolerance monitoring expands potential application scenarios sensors.

Язык: Английский

Процитировано

33

Cellulose-Based Conductive Materials for Energy and Sensing Applications DOI Open Access
Duan‐Chao Wang,

Sheng‐Nan Lei,

Shenjie Zhong

и другие.

Polymers, Год журнала: 2023, Номер 15(20), С. 4159 - 4159

Опубликована: Окт. 19, 2023

Cellulose-based conductive materials (CCMs) have emerged as a promising class of with various applications in energy and sensing. This review provides comprehensive overview the synthesis methods properties CCMs their batteries, supercapacitors, chemical sensors, biosensors, mechanical sensors. Derived from renewable resources, cellulose serves scaffold for integrating additives such carbon nanotubes (CNTs), graphene, metal particles, metal–organic frameworks (MOFs), carbides nitrides transition metals (MXene), polymers. combination results excellent electrical conductivity while retaining eco-friendliness biocompatibility cellulose. In field storage, show great potential batteries supercapacitors due to high surface area, strength, tunable chemistry, porosity. Their flexibility makes them ideal wearable flexible electronics, contributing advances portable storage electronic integration into substrates. addition, play key role sensing applications. allows development implantable biosensors biodegradable environmental sensors meet growing demand health monitoring. Looking future, this emphasizes need scalable synthetic methods, improved thermal properties, exploration novel sources modifications. Continued innovation promises revolutionize sustainable technologies, providing environmentally friendly solutions pressing global challenges.

Язык: Английский

Процитировано

29

Ionic conductive konjac glucomannan/liquid crystal cellulose composite hydrogels with dual sensing of photo- and electro-signals capacities as wearable strain sensors DOI

Xintong Hu,

Jianhua Wang, Shiqiang Song

и другие.

International Journal of Biological Macromolecules, Год журнала: 2023, Номер 258, С. 129038 - 129038

Опубликована: Дек. 26, 2023

Язык: Английский

Процитировано

25

Highly stretchable, wide linear responsive, and sensitive flexible strain sensor based on elastic bandage/carbon nanotubes DOI
Libing Liu, Dong Xiang,

Zhuxi Liu

и другие.

Sensors and Actuators A Physical, Год журнала: 2024, Номер 368, С. 115105 - 115105

Опубликована: Фев. 3, 2024

Язык: Английский

Процитировано

13

Liquid Metal and Carbon Nanofiber-Based Strain Sensor for Monitoring Gesture, Voice, and Physiological Signals DOI
Jiuyang Wang,

Shuhui Ren,

Xiaotong Jia

и другие.

ACS Applied Nano Materials, Год журнала: 2024, Номер 7(2), С. 1664 - 1673

Опубликована: Янв. 17, 2024

Fiber strain sensors are emerging as a focus in wearable monitors due to their excellent flexibility and weavability. However, compromise of the detection range with sensitivity hysteresis still exists current fiber sensors. To overcome this deficiency, we propose sensor by using liquid metal (LM) carbon nanofiber (CNF) composites (LM/CNF) elastic sensitive conductive materials dip-coating it on polyurethane thread (PUT) an ultrasonic-assisted method. It is demonstrated morphological examination that there "island-bridge" like network LM/CNF suspension coated PUT technique. The good sensitivities wide testified (i.e., gauge factors (GFs) 14.8 ± 0.5, 35.7 2.3, 73.7 3.9 ranges 0–110, 110–150, 150–220%, respectively) proven be contributed entangled LM nanoparticles CNF microrods. Meanwhile, short response times (304 26 ms for loading 20% 315 28 unloading) low also manifested. All these features endow LM/CNF-based capability simultaneously monitor human health state body movements; great potentiality on-body detections respiration, pulse, voice, joint bending. Finally, its conceptual application smart glove gesture recognition carried out. In general, work manifests may practical value field motion detection.

Язык: Английский

Процитировано

11

Toward highly-robust MXene hybrid memristor by synergetic ionotronic modification and two-dimensional heterojunction DOI

Songtao Ling,

Shengran Lin, Yin‐Zhong Wu

и другие.

Chemical Engineering Journal, Год журнала: 2024, Номер 486, С. 150100 - 150100

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

11