Nano Research, Год журнала: 2024, Номер 18(2), С. 94907128 - 94907128
Опубликована: Дек. 16, 2024
Язык: Английский
Nano Research, Год журнала: 2024, Номер 18(2), С. 94907128 - 94907128
Опубликована: Дек. 16, 2024
Язык: Английский
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
2Nano-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
7Nano Energy, Год журнала: 2025, Номер 135, С. 110640 - 110640
Опубликована: Янв. 5, 2025
Язык: Английский
Процитировано
0Biomimetics, 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
0Опубликована: 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
0Опубликована: Янв. 19, 2025
Язык: Английский
Процитировано
0Advanced 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
0Nano Energy, Год журнала: 2025, Номер unknown, С. 110911 - 110911
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Nano Energy, Год журнала: 2025, Номер unknown, С. 110946 - 110946
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0ACS 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
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