Leather-Based Shoe Soles for Real-Time Gait Recognition and Automatic Remote Assistance Using Machine Learning DOI
Peng Zhang, Xiaomeng Zhang,

Ming Teng

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(45), С. 62803 - 62816

Опубликована: Ноя. 1, 2024

Real-time monitoring of gait characteristics is crucial for applications in health monitoring, patient rehabilitation feedback, and telemedicine. However, the effective stable acquisition automatic analysis information remain significant challenges. In this study, we present a flexible sensor based on carbon nanotube/graphene composite conductive leather (CGL), which uses collagen fiber with three-dimensional network structure as substrate. The CGL-based demonstrates high dynamic range, notable pressure responses ranging from 0.6 to 14.5 kPa sensitivity (S = 0.2465 kPa–1). We further developed device incorporating collect foot characteristic signals human motion designed smart sports shoes facilitate human–computer interaction. Machine learning was employed process various states, including standing, sitting, walking, falling. For real-time falls, optimized K-Nearest Time Series Classifier (KNTC) algorithm, achieving an accuracy 0.99 prediction time only 13 ms, highlights system's excellent intelligent response capabilities. system maintained recognition 90% across diverse populations, low false-positive (3.3%) false-negative rates. This work capabilities provides valuable methods insights plantar behavior data analysis, contributing development advanced systems.

Язык: Английский

Multimodal, Ultrasensitive, and Biomimetic Electronic Skin Based on Gradient Micro‐Frustum Ionogel for Imaginary Keyboard and Haptic Cognition DOI Open Access
Yifan Xia, Xinrong Zhi, Mengjia Guo

и другие.

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Окт. 14, 2024

Abstract Electronic skins (E‐skins) are poised to revolutionize human interaction not only with one another but also machines, electronics, and surrounding environment. However, the wearable E‐skin that simultaneously offers multiple sensing capabilities, high sensitivity, broad ranges remains a great challenge. Here, drawing inspiration from haptic perception, multimodal, ultrasensitive, biomimetic (MES) founded on micro‐frustum ionogel is developed based iontronic capacitive triboelectric effects for imaginary keyboard multifunctional cognition. Leveraging as layer layer, MES enables human‐dermis perception performances of sensitivity (357.56 kPa −1 ), low limit detection (0.47 Pa), linear range (0–500 kPa). Moreover, finger joint movements can be precisely monitored by attached transferred into accurate typed letter information an keyboard. More importantly, harnessing signal acquisition/processing circuits machine learning, real‐time cognition different materials, surface roughness, contact pressure achieved MES, which endows advancement between next‐generation intelligent robot physical Consequently, proposed demonstrates impressive potentials in fields human–machine (HMI), Artificial Intelligence (AI).

Язык: Английский

Процитировано

6
Wearable cuffless blood pressure monitoring: From flexible electronics to machine learning DOI Creative Commons

Jiangbo Hua,

Mengrui Su, Jing Wu

и другие.

Wearable electronics., Год журнала: 2024, Номер 1, С. 78 - 90

Опубликована: Май 17, 2024

Hypertension significantly contributes to the widespread occurrence of cardiovascular disease globally. Routine portable blood pressure monitoring is crucial for prevention and screening hypertension. Nevertheless, bulky nature cuff sphygmomanometers commonly used in clinical settings causes discomfort patients. Wearable cuffless has received significant attention as a result. Advances flexible electronics machine learning have provided new impetus development wearable monitoring, offering potential solutions these challenges. Here, we review theoretical foundations, sensors back-end signal processing from full-process perspective, particularly emphasizes developments introduced by learning. Flexible mechanical sensors, optical ultrasonic electrodes efficiently capture signals related pressure, while enabled accurately analyzes raw into waveforms. Finally, future challenges opportunities are envisioned.

Язык: Английский

Процитировано

4
Emerging intelligent wearable devices for cardiovascular health monitoring DOI
Yiqian Wang, Yang Zou, Zhou Li

и другие.

Nano Today, Год журнала: 2024, Номер 59, С. 102544 - 102544

Опубликована: Ноя. 8, 2024

Язык: Английский

Процитировано

4
Multifunctional tactile sensor with multimodal capabilities for pressure, temperature, and surface recognition DOI
Viet Cao,

Van Quan Phan,

Nam Khanh Nguyen

и другие.

Nano Energy, Год журнала: 2025, Номер unknown, С. 110706 - 110706

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Optical microfiber intelligent watchband for cuffless blood pressure monitoring DOI
Jiaqi Chen, Yue Zhang, Bin Liu

и другие.

Sensors and Actuators A Physical, Год журнала: 2025, Номер 386, С. 116325 - 116325

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0
Strain Redistribution Effect Based Composite Structured Sensor for Decouplable Tactile‐Strain Double‐Mode Perception DOI Creative Commons
Hanning Wang, Xiaofei Liu, Da Chen

и другие.

Advanced Sensor Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 21, 2025

Abstract A key challenge in electronic skin with dual haptic‐stretch sensing is the interference between force‐sensitive modes. Existing solutions require complex integration processes or mathematical decoupling models. Effectively stretch and pressure response flexible sensors remains a critical task. Herein, strain redistribution effect (SRE) of composite structural mainframe fulfills decouple double‐mode perception by aid lightweight algorithm. The CAD‐assisted design enables dual‐mode structure to be configured as three‐layer stacked composite. Utilizing differential Young's modulus distribution, achieved across structured frame. Tensile deformation tactile are measured via resistance from amplification region capacitance suppression region, respectively. Digital Image Correlation (DIC) confirms 53% under 10% tensile strain, demonstrating fivefold effect. random forest algorithm effectively decouples resistance‐capacitance signals, achieving R 2 values 0.99 0.75 for deformation, 0.78 pressure, This study leverages frame provide novel scheme decoupled unit, which expected significant development path.

Язык: Английский

Процитировано

0
Recent Developments and Applications of Tactile Sensors with Biomimetic Microstructures DOI Creative Commons

Fengchang Huang,

Xidi Sun, Qin-Juan Xu

и другие.

Biomimetics, Год журнала: 2025, Номер 10(3), С. 147 - 147

Опубликована: Фев. 27, 2025

Humans possess an innate ability to perceive a wide range of objects through touch, which allows them interact effectively with their surroundings. Similarly, tactile perception in artificial sensory systems enables the acquisition object properties, human physiological signals, and environmental information. Biomimetic sensors, as emerging sensing technology, draw inspiration from biological exhibit high sensitivity, rapid response, multimodal perception, stability. By mimicking mechanisms microstructures, these sensors achieve precise detection mechanical thereby paving way for advancements applications. This review provides overview key mechanisms, microstructure designs, advanced fabrication techniques biomimetic sensors. The system architecture design is also explored. Furthermore, highlights significant applications recent years, including texture recognition, health detection, human–machine interaction. Finally, challenges future development prospects related are discussed.

Язык: Английский

Процитировано

0
Advances in Textile‐Based Triboelectric Sensors for Physiological Signal Monitoring DOI

Yunchu Shen,

Zifan Jiang,

H Y Huang

и другие.

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Апрель 8, 2025

Abstract The incorporation of sensing and therapeutic capabilities into everyday textiles can be an effective approach for the development continuous wearable sensors. Textile‐based triboelectric sensors are ideal candidates capturing tiny physiological signals human body to prevent chronic diseases owing their compelling features high sensitivity, excellent breathability, programmable structure. In this review, working mechanisms, material selection, manufacturing techniques, structural designs textile‐constructed nanogenerators comprehensively presented. An in‐depth analysis signal monitoring applications ranging from cardiovascular monitoring, electrocardiogram, electromyography, respiratory sleep exercise is thoughtfully demonstrated. Furthermore, a closed‐loop smart textile system, including active sensing, energy supply, real‐time feedback, data processing, healthcare, proposed address major challenges bottlenecks in technology. It expected that review will provide audience with some universal strategies novel ideas conducting research on textile‐based improved performance.

Язык: Английский

Процитировано

0
Transfer Learning Enhanced Blood Pressure Monitoring Based on Flexible Optical Pulse Sensing Patch DOI
Zecong Liu, Chao Xiang, Yeyu Tong

и другие.

ACS Sensors, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

Blood pressure (BP), a crucial health biomarker, is essential for detecting early indications of cardiovascular disease in routine monitoring and clinical surveillance inpatients. However, conventional cuff-based BP measurements are limited providing continuous comfort monitoring. Here, we present an optical pulse sensing patch monitoring, which integrates three units Gallium Nitride (GaN) optopairs with micronanostructured polydimethylsiloxane films to capture waves. Multipoint signals transformed into other indicators through machine learning. The transfer learning method developed calibrate the model few training sets, simplifying practical implementation. holds great potential long-term, precise enhancing diagnosis, management diseases.

Язык: Английский

Процитировано

0
Advancements in Bio‐Integrated Flexible Electronics for Hemodynamic Monitoring in Cardiovascular Healthcare DOI Creative Commons
Ke Huang, Zhiqiang Ma, Bee Luan Khoo

и другие.

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Апрель 25, 2025

Abstract Cardiovascular diseases (CVDs) remain the leading cause of global mortality, highlighting urgent need for effective monitoring and prevention strategies. The rapid advancement flexible sensing technology development conformal sensors have attracted significant attention due to their potential continuous, real‐time assessment cardiovascular health over extended periods. This review outlines recent advancements in bio‐integrated electronics designed hemodynamic broader CVD healthcare applications. It introduces key physiological indicators relevant hemodynamics, including heart rate, blood pressure, flow velocity, cardiac output. Next, it discusses engineering strategies, such as working principles configuration designs. Various non‐invasive invasive devices these are then presented. Additionally, highlights role artificial intelligence algorithms practical applications detection. Finally, proposes future directions addresses challenges field.

Язык: Английский

Процитировано

0