Microdroplet splitting and mixing by portable triboelectric nanogenerator DOI
Qi Gao, Xiang Qin, Wenkai Liu

и другие.

Nano Research, Год журнала: 2024, Номер 18(2), С. 94907128 - 94907128

Опубликована: Дек. 16, 2024

Язык: Английский

Recent progress on artificial intelligence-enhanced multimodal sensors integrated devices and systems DOI
Haihua Wang, Mingjian Zhou, Xiaolong Jia

и другие.

Journal of Semiconductors, Год журнала: 2025, Номер 46(1), С. 011610 - 011610

Опубликована: Янв. 1, 2025

Abstract Multimodal sensor fusion can make full use of the advantages various sensors, up for shortcomings a single sensor, achieve information verification or security through redundancy, and improve reliability safety system. Artificial intelligence (AI), referring to simulation human in machines that are programmed think learn like humans, represents pivotal frontier modern scientific research. With continuous development promotion AI technology Sensor 4.0 age, multimodal is becoming more intelligent automated, expected go further future. this context, review article takes comprehensive look at recent progress on AI-enhanced sensors their integrated devices systems. Based concept principle technologies algorithms, theoretical underpinnings, technological breakthroughs, pragmatic applications fields such as robotics, healthcare, environmental monitoring highlighted. Through comparative study dual/tri-modal with without using (especially machine learning deep learning), highlight potential performance, data processing, decision-making capabilities. Furthermore, analyzes challenges opportunities afforded by offers prospective outlook forthcoming advancements.

Язык: Английский

Процитировано

2

A Multifunctional Hydrogel with Multimodal Self-Powered Sensing Capability and Stable Direct Current Output for Outdoor Plant Monitoring Systems DOI Creative Commons
Xinge Guo, Luwei Wang, Z.‐H. Jin

и другие.

Nano-Micro Letters, Год журнала: 2024, Номер 17(1)

Опубликована: Ноя. 27, 2024

Smart farming with outdoor monitoring systems is critical to address food shortages and sustainability challenges. These facilitate informed decisions that enhance efficiency in broader environmental management. Existing equipped energy harvesters self-powered sensors often struggle fluctuating sources, low durability under harsh conditions, non-transparent or non-biocompatible materials, complex structures. Herein, a multifunctional hydrogel developed, which can fulfill all the above requirements build self-sustainable solely by it. It serve as stable harvester continuously generates direct current output an average power density of 1.9 W m

Язык: Английский

Процитировано

7

Ultra-Wide Frequency Response and High-Resolution Triboelectric Acoustic Sensors for Constructing Multifunctional Speech Aided System DOI

Tingwei Zheng,

Mang Gao, Yinghan Wang

и другие.

Nano Energy, Год журнала: 2025, Номер 135, С. 110640 - 110640

Опубликована: Янв. 5, 2025

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

Moving Toward Human‐Like Perception and Sensation Systems—From Integrated Intelligent Systems to Decentralized Smart Devices DOI Creative Commons
Zhongda Sun, Tianyiyi He, Zhihao Ren

и другие.

Опубликована: Март 1, 2025

ABSTRACT Artificial Intelligence (AI) has shown the power to enhance functionality of sensors and enable intelligent human‐machine interfaces through machine learning‐based data analysis. However, good performance AI is always accompanied by a large amount high computational complexity. Though cloud computing appears be right solution this issue with advent 5G era, certain intelligence edge terminal also important make entire integrated system more efficient. The current development microelectronic, wearable, AI, neuromorphic technologies pave way realize advanced integrating silicon‐based high‐computing‐power chips anthropomorphic wearable sensory devices show potential achieve human‐like self‐sustainable decentralized next‐generation AI. Hence, in review, we systematically introduce related progress terms electronics that can mimic biological features humans' systems neuromorphic/in‐sensor technologies. Discussion on implementing perception sensation silicone‐based non‐silicone‐based functional units our perspectives are provided.

Язык: Английский

Процитировано

0

Battery-Less Outdoor Farming IOT Sensing System Using Multifunctional Hydrogel Enabled Direct-Current Powering and Self-Powered Leaf Monitoring Capability DOI
Xinge Guo, Luwei Wang, Chengkuo Lee

и другие.

Опубликована: Янв. 19, 2025

Язык: Английский

Процитировано

0

Multimodal Finger‐Shaped Tactile Sensor for Multi‐Directional Force and Material Identification DOI Open Access

Chengcheng Han,

Zhi Cao,

Ziyao An

и другие.

Advanced Materials, Год журнала: 2025, Номер unknown

Опубликована: Март 21, 2025

Multimodal tactile perception is crucial for advancing human-computer interaction, but real-time multidimensional force detection and material identification remain challenging. Here, a finger-shaped sensor (FTS) based on the triboelectric effect proposed, capable of multidirectional sensing identification. The FTS composed an external section internal section. Three materials are embedded into surface silicone shell in fingerpad, forming single-electrode sensors In section, shell's outer coated with conductive silver paste as shielding layer. inner wall has four microneedle arrays bump, while five electrodes polylactic acid skeleton. components connect via interlocking structures near fingernail, allowing localized contact separation between skeleton, enabling direction through signals from electrodes. Additionally, achieve 98.33% accuracy recognizing 12 materials. Furthermore, integrated robotic hand, enables intelligent sorting environment. This research holds great potential applications robotics.

Язык: Английский

Процитировано

0

Skin-integrated haptic interface system based on a flexible and stretchable pressure sensor array for wireless tactile visualization applications DOI

Zhaowei Cui,

Qilin Hua,

Yuanhong Shi

и другие.

Nano Energy, Год журнала: 2025, Номер unknown, С. 110911 - 110911

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Flexible magnet/Fe layers-based triboelectric sensors for continuous monitoring of elbow bending with a low minimum sensing angle DOI
Q.W. Zhang, Zhongjie Li, Long Li

и другие.

Nano Energy, Год журнала: 2025, Номер unknown, С. 110946 - 110946

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Triboelectric Sensor with a Hierarchical Structure for Omnidirectional Adaptive Wind Speed and Wind Direction Sensing for Unmanned Aerial Vehicles DOI
Zhihong Wang, Kuankuan Wang, Yixin Liu

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Апрель 11, 2025

Unmanned aerial vehicles (UAVs) have transformed sectors, such as agriculture and logistics, requiring accurate environmental sensing for optimal functionality. Among various factors, wind speed direction are vital to flight stability energy efficiency. However, existing UAV anemometer technologies face challenges, including large size, high power consumption, complex integration. In this study, a novel (WSD) sensor, referred WSD-TENG, is introduced based on the principles of triboelectric nanogenerators (TENGs). The WSD-TENG consists thin-film TENG integrated with vane detection disk-shaped monitoring direction. An extensive evaluation structural parameters output performance demonstrates its ability function across speeds from 2.6 30.0 m/s 5° resolution in direction, showing stability. exhibits linear relationship between voltage frequency, goodness fit 0.9995, proves strong long-term reliability. Additionally, testing under simulated conditions validates dependability settings. A WSD-TENG-compatible signal processing module has also been developed integration UAVs, enabling application practical operations.

Язык: Английский

Процитировано

0